@Article{	  cc00b,
  author	= {Chih-Chung Chang and Chih-Wei Hsu and Chih-Jen Lin},
  title		= {The Analysis of Decomposition Methods for Support Vector
		  Machines},
  year		= {2000},
  volume	= {11},
  number	= {4},
  pages		= {1003--1008},
  journal	= {IEEE Transactions on Neural Networks}
}

@Article{	  cc01a,
  author	= {Chang, Chih-Chung and Lin, Chih-Jen},
  title		= {{LIBSVM}: a library for support vector machines},
  journal	= {ACM Transactions on Intelligent Systems and Technology},
  volume	= {2},
  number	= {3},
  year		= {2011},
  pages		= {27:1--27:27},
  note		= {Software available at
		  \url{http://www.csie.ntu.edu.tw/~cjlin/libsvm}}
}

@Article{	  cc01b,
  author	= {Chih-Chung Chang and Chih-Jen Lin},
  title		= {Training $\nu$-Support Vector Classifiers: Theory and
		  Algorithms},
  year		= {2001},
  journal	= {Neural Computation},
  volume	= {13},
  number	= {9},
  pages		= {2119--2147}
}

@Article{	  cc01c,
  author	= {Chih-Chung Chang and Chih-Jen Lin},
  title		= {Training $\nu$-Support Vector Regression: Theory and
		  Algorithms},
  journal	= {Neural Computation},
  volume	= {14},
  number	= {8},
  pages		= {1959--1977},
  year		= {2002}
}

@Article{	  kwc07a,
  author	= {Kai-Wei Chang and Cho-Jui Hsieh and Chih-Jen Lin},
  title		= {Coordinate Descent Method for Large-scale {L}2-loss Linear
		  {SVM}},
  journal	= {Journal of Machine Learning Research},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/cdl2.pdf},
  year		= {2008},
  pages		= {1369--1398},
  volume	= {9},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@Article{	  mwc02b,
  author	= {Ming-Wei Chang and Chih-Jen Lin and Ruby C. Weng},
  title		= {Analysis of switching dynamics with competing support
		  vector machines},
  pages		= {720--727},
  volume	= {15},
  number	= {3},
  year		= {2004},
  journal	= {IEEE Transactions on Neural Networks}
}

@Article{	  mwc03a,
  author	= {Ming-Wei Chang and Chih-Jen Lin},
  title		= {Leave-one-out Bounds for Support Vector Regression Model
		  Selection},
  journal	= {Neural Computation},
  volume	= {17},
  number	= {5},
  pages		= {1188--1222},
  year		= {2005}
}

@Article{	  ywc09a,
  author	= {Yin-Wen Chang and Cho-Jui Hsieh and Kai-Wei Chang and
		  Michael Ringgaard and Chih-Jen Lin},
  title		= {Training and Testing Low-degree Polynomial Data Mappings
		  via Linear {SVM}},
  journal	= {Journal of Machine Learning Research},
  year		= {2010},
  pages		= {1471--1490},
  volume	= {11},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/lowpoly_journal.pdf}
}

@Article{	  bjc02a,
  author	= {Bo-Juen Chen and Ming-Wei Chang and Chih-Jen Lin},
  title		= {Load Forecasting Using Support Vector Machines: A Study on
		  {EUNITE} Competition 2001},
  journal	= {IEEE Transactions on Power Systems},
  year		= {2004},
  volume	= {19},
  number	= {4},
  month		= {November},
  pages		= {1821--1830}
}

@Article{	  phc03a,
  author	= {Pai-Hsuen Chen and Chih-Jen Lin and Bernhard Sch\"olkopf},
  title		= {A Tutorial on $\nu$-Support Vector Machines},
  year		= {2005},
  journal	= {Applied Stochastic Models in Business and Industry},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/nusvmtoturial.pdf},
  volume	= {21},
  issue		= {2},
  pages		= {111--136}
}

@Article{	  phc05a,
  author	= {Pai-Hsuen Chen and Rong-En Fan and Chih-Jen Lin},
  title		= {A Study on {SMO}-type Decomposition Methods for Support
		  Vector Machines},
  journal	= {IEEE Transactions on Neural Networks},
  year		= {2006},
  volume	= {17},
  pages		= {893--908},
  month		= {July},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/generalSMO.pdf}
}

@Article{	  wyc11a,
  author	= {Wen-Yen Chen and Yangqiu Song and Hongjie Bai and Chih-Jen
		  Lin and Edward Y. Chang},
  title		= {Parallel Spectral Clustering in Distributed Systems},
  journal	= {IEEE Transactions on Pattern Analysis and Machine
		  Intelligence},
  year		= {2011},
  optkey	= {},
  volume	= {33},
  number	= {3},
  pages		= {568--586},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@Article{	  wsc15a,
  author	= {Wei-Sheng Chin and Yong Zhuang and Yu-Chin Juan and
		  Chih-Jen Lin},
  title		= {A Fast Parallel Stochastic Gradient Method for Matrix
		  Factorization in Shared Memory Systems},
  journal	= {ACM Transactions on Intelligent Systems and Technology},
  optpages	= {},
  year		= {2015},
  opteditor	= {},
  volume	= {6},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/libmf/libmf_journal.pdf},
  optnumber	= {},
  pages		= {2:1--2:24},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@Article{	  wsc15c,
  author	= {Wei-Sheng Chin and Bo-Wen Yuan and Meng-Yuan Yang and Yong
		  Zhuang and Yu-Chin Juan and Chih-Jen Lin},
  title		= {{LIBMF}: A Library for Parallel Matrix Factorization in
		  Shared-memory Systems},
  journal	= {Journal of Machine Learning Research},
  year		= {2016},
  volume	= {17},
  number	= {86},
  pages		= {1-5},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/libmf/libmf_open_source.pdf}
}

@Article{	  wsc18a,
  author	= {Wei-Sheng Chin and Bo-Wen Yuan and Meng-Yuan Yang and
		  Chih-Jen Lin},
  title		= {An Efficient Alternating {N}ewton Method for Learning
		  Factorization Machines},
  journal	= {ACM Transactions on Intelligent Systems and Technology},
  year		= {2018},
  volume	= {9},
  number	= {6},
  pages		= {72:1--72:31},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/fm/scalefm.pdf},
  optkey	= {},
  optvolume	= {},
  optnumber	= {},
  optpages	= {},
  optmonth	= {},
  optannote	= {}
}

@Article{	  kc02b,
  author	= {Kai-Min Chung and Wei-Chun Kao and Chia-Liang Sun and
		  Li-Lun Wang and Chih-Jen Lin},
  title		= {Radius Margin Bounds for Support Vector Machines with the
		  {RBF} Kernel},
  journal	= {Neural Computation},
  volume	= {15},
  pages		= {2643--2681},
  year		= {2003}
}

@Article{	  ref05a,
  author	= {Rong-En Fan and Pai-Hsuen Chen and Chih-Jen Lin},
  title		= {Working Set Selection Using Second Order Information for
		  Training {SVM}},
  year		= {2005},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/quadworkset.pdf},
  journal	= {Journal of Machine Learning Research},
  volume	= {6},
  pages		= {1889--1918},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optannote	= {}
}

@Article{	  ref08a,
  author	= {Rong-En Fan and Kai-Wei Chang and Cho-Jui Hsieh and
		  Xiang-Rui Wang and Chih-Jen Lin},
  title		= {{LIBLINEAR}: a library for large linear classification},
  journal	= {Journal of Machine Learning Research},
  year		= {2008},
  optkey	= {},
  volume	= {9},
  optnumber	= {},
  pages		= {1871--1874},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/liblinear.pdf},
  optmonth	= {},
  optannote	= {}
}

@Article{	  scf01a,
  author	= {Shu-Cherng Fang and Chih-Jen Lin and Soon-Yi Wu},
  title		= {Solving Quadratic Semi-Infinite Programming Problems by
		  Using Relaxed Cutting Plane Scheme},
  journal	= {Journal of Computational and Applied Mathematics},
  year		= {2001},
  volume	= {129},
  pages		= {89-104}
}

@Article{	  lg20a,
  author	= {Leonardo Galli and Chih-Jen Lin},
  journal	= {IEEE Transactions on Neural Networks and Learning
		  Systems},
  title		= {A Study on Truncated {N}ewton Methods for Linear
		  Classification},
  year		= {2022},
  volume	= {33},
  number	= {7},
  pages		= {2828--2841},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/tncg/tncg.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optannote	= {}
}

@Article{	  gg21a,
  author	= {Giulio Galvan and Matteo Lapucci and Chih-Jen Lin and
		  Marco Sciandrone},
  title		= {A Two-Level Decomposition Framework Exploiting First and
		  Second Order Information for {SVM} Training Problems},
  journal	= {Journal of Machine Learning Research},
  year		= {2021},
  volume	= {22},
  number	= {23},
  pages		= {1--38},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/19-632.pdf}
}

@Article{	  chh12a,
  author	= {Chia-Hua Ho and Chih-Jen Lin},
  title		= {Large-scale Linear Support Vector Regression},
  year		= {2012},
  journal	= {Journal of Machine Learning Research},
  volume	= {13},
  optnumber	= {},
  pages		= {3323-3348},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/linear-svr.pdf}
}

@Article{	  jyh19a,
  author	= {Jui-Yang Hsia and Chih-Jen Lin},
  title		= {Parameter Selection for Linear Support Vector Regression},
  journal	= {IEEE Transactions on Neural Networks and Learning
		  Systems},
  year		= {2020},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/warm-start/svr-param.pdf},
  optkey	= {},
  volume	= {31},
  optnumber	= {},
  pages		= {5639--5644},
  optmonth	= {},
  optannote	= {}
}

@Article{	  cwh01a,
  author	= {Chih-Wei Hsu and Chih-Jen Lin},
  title		= {A Comparison of Methods for Multi-class Support Vector
		  Machines},
  journal	= {IEEE Transactions on Neural Networks},
  volume	= {13},
  number	= {2},
  pages		= {415--425},
  year		= {2002}
}

@Article{	  cwh01b,
  author	= {Chih-Wei Hsu and Chih-Jen Lin},
  title		= {A simple decomposition method for support vector
		  machines},
  year		= {2002},
  journal	= {Machine Learning},
  volume	= {46},
  pages		= {291--314}
}

@Article{	  flh09b,
  author	= {Fang-Lan Huang and Cho-Jui Hsieh and Kai-Wei Chang and
		  Chih-Jen Lin},
  title		= {Iterative Scaling and Coordinate Descent Methods for
		  Maximum Entropy},
  journal	= {Journal of Machine Learning Research},
  volume	= {11},
  pages		= {815--848},
  year		= {2010},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/maxent_journal.pdf}
}

@Article{	  tkh08a,
  author	= {Tzu-Kuo Huang and Chih-Jen Lin and Ruby C. Weng},
  title		= {Ranking individuals by group comparisons},
  journal	= {Journal of Machine Learning Research},
  volume	= {9},
  pages		= {2187--2216},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/genBTexp/genBTexp-jmlr.pdf},
  year		= {2008}
}

@Article{	  tkh04a,
  author	= {Tzu-Kuo Huang and Weng, Ruby C. and Chih-Jen Lin},
  title		= {Generalized {B}radley-{T}erry Models and Multi-class
		  Probability Estimates},
  year		= {2006},
  journal	= {Journal of Machine Learning Research},
  volume	= {7},
  pages		= {85--115},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/generalBT.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optannote	= {}
}

@Article{	  kc02a,
  author	= {Wei-Chun Kao and Kai-Min Chung and Chia-Liang Sun and
		  Chih-Jen Lin},
  title		= {Decomposition Methods for Linear Support Vector Machines},
  journal	= {Neural Computation},
  pages		= {1689--1704},
  volume	= {16},
  number	= {8},
  year		= {2004},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/linear.pdf}
}

@Article{	  ssk02b,
  author	= {S. Sathiya Keerthi and Chih-Jen Lin},
  title		= {Asymptotic Behaviors of Support Vector Machines with
		  {G}aussian Kernel},
  journal	= {Neural Computation},
  volume	= {15},
  number	= {7},
  pages		= {1667--1689},
  year		= {2003}
}

@Article{	  cpl12a,
  author	= {Ching-Pei Lee and Chih-Jen Lin},
  title		= {A Study on {L}2-Loss (Squared Hinge-Loss) Multi-Class
		  {SVM}},
  year		= {2013},
  journal	= {Neural Computation},
  volume	= {25},
  number	= {5},
  pages		= {1302--1323},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/l2mcsvm/l2mcsvm.pdf}
}

@Article{	  cpl13a,
  author	= {Ching-Pei Lee and Chih-Jen Lin},
  title		= {Large-scale Linear Rank{SVM}},
  year		= {2014},
  journal	= {Neural Computation},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/ranksvm/ranksvml2.pdf},
  volume	= {26},
  number	= {4},
  pages		= {781--817}
}

@Article{	  cpl20a,
  author	= {Ching-Pei Lee and Po-Wei Wang and Chih-Jen Lin},
  title		= {Limited-memory common-directions method for large-scale
		  optimization: convergence, parallelization, and distributed
		  optimization},
  journal	= {Mathematical Programming Computation},
  year		= {2022},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/l-commdir-journal/l-commdir.pdf},
  volume	= {14},
  optnumber	= {},
  pages		= {543--591}
}

@Article{	  spl00a,
  author	= {Shuo-Peng Liao and Hsuan-Tien Lin and Chih-Jen Lin},
  title		= {A note on the decomposition methods for support vector
		  regression},
  year		= {2002},
  journal	= {Neural Computation},
  volume	= {14},
  pages		= {1267--1281}
}

@Article{	  cjl94b,
  author	= {Shu-Cherng Fang and Chih-Jen Lin and Soon-Yi Wu},
  title		= {On solving convex quadratic semi-infinite programming
		  problems},
  journal	= {Optimization},
  year		= {1994},
  volume	= {37},
  pages		= {107-125}
}

@Article{	  cjl95c,
  author	= {Chih-Jen Lin and E. K. Yang and Shu-Cherng Fang and
		  Soon-Yi Wu},
  title		= {Implementation of an inexact approach to solving linear
		  semi-infinite programming problems},
  journal	= {Journal of Computational and Applied Mathematics},
  year		= {1995},
  volume	= {61},
  pages		= {87--103}
}

@Article{	  cjl96a,
  author	= {Chih-Jen Lin and Soon-Yi Wu and Shu-Cherng Fang},
  title		= {On the parametric linear semi--infinite optimization},
  journal	= {Applied Mathematics Letter},
  year		= {1996},
  volume	= {9},
  pages		= {89--96}
}

@Article{	  cjl97e,
  author	= {Shu-Cherng Fang and Soon-Yi Wu and Chih-Jen Lin},
  title		= {Relaxed cutting plane method for solving linear
		  semi-infinite programming problems},
  year		= {1998},
  journal	= {Journal of Optimization Theory and Applications},
  volume	= {99},
  pages		= {759--779}
}

@Article{	  cjl98b,
  author	= {Chih-Jen Lin and Soon-Yi Wu and Shu-Cherng Fang},
  title		= {An unconstrained convex programming approach for solving
		  linear semi-infinite programming problems},
  journal	= {SIAM Journal on Optimization},
  year		= {1998},
  volume	= {8},
  number	= {2},
  page		= {443-456}
}

@Article{	  cjl99a,
  author	= {Chih-Jen Lin and Jorge J. Mor\'e},
  title		= {Incomplete {C}holesky Factorizations with Limited Memory},
  journal	= {SIAM Journal on Scientific Computing},
  year		= {1999},
  volume	= {21},
  pages		= {24--45}
}

@Article{	  cjl99b,
  author	= {Chih-Jen Lin and Jorge J. Mor\'e},
  title		= {Newton's method for large-scale bound constrained
		  problems},
  year		= {1999},
  journal	= {SIAM Journal on Optimization},
  volume	= {9},
  pages		= {1100--1127}
}

@Article{	  cjl00a,
  author	= {Chih-Jen Lin and Romesh Saigal},
  title		= {An incomplete {C}holesky factorization for dense
		  matrices},
  journal	= {BIT},
  year		= {2000},
  volume	= {40},
  pages		= {536--558}
}

@Article{	  cjl01a,
  author	= {Chih-Jen Lin},
  title		= {Formulations of Support Vector Machines: a Note from an
		  Optimization Point of View},
  year		= {2001},
  journal	= {Neural Computation},
  volume	= {13},
  pages		= {307--317},
  number	= {2}
}

@Article{	  cjl01b,
  author	= {Chih-Jen Lin},
  title		= {A formal analysis of stopping criteria of decomposition
		  methods for support vector machines },
  journal	= {IEEE Transactions on Neural Networks},
  volume	= {13},
  number	= {5},
  pages		= {1045--1052},
  year		= {2002},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/stop.ps.gz}
}

@Article{	  cjl01c,
  author	= {Chih-Jen Lin},
  title		= {On the convergence of the decomposition method for support
		  vector machines},
  year		= {2001},
  journal	= {IEEE Transactions on Neural Networks},
  volume	= {12},
  number	= {6},
  pages		= {1288--1298},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/conv.ps.gz}
}

@Article{	  cjl01d,
  author	= {Chih-Jen Lin},
  title		= {Asymptotic Convergence of an {SMO} Algorithm Without Any
		  Assumptions},
  pages		= {248--250},
  year		= {2002},
  volume	= {13},
  number	= {1},
  journal	= {IEEE Transactions on Neural Networks},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/q2conv.pdf}
}

@Article{	  cjl05b,
  author	= {Chih-Jen Lin},
  title		= {Projected Gradient Methods for Non-negative Matrix
		  Factorization},
  year		= {2007},
  journal	= {Neural Computation},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/pgradnmf.pdf},
  volume	= {19},
  pages		= {2756--2779},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optannote	= {}
}

@Article{	  cjl05c,
  author	= {Chih-Jen Lin},
  title		= {On the Convergence of Multiplicative Update Algorithms for
		  Non-negative Matrix Factorization},
  year		= {2007},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/multconv.pdf},
  journal	= {IEEE Transactions on Neural Networks},
  pages		= {1589--1596},
  volume	= {18},
  optkey	= {},
  opttype	= {},
  number	= {6},
  optaddress	= {},
  optmonth	= {},
  optannote	= {}
}

@Article{	  cjl07b,
  author	= {Chih-Jen Lin and Ruby C. Weng and S. Sathiya Keerthi},
  title		= {Trust region {N}ewton method for large-scale logistic
		  regression},
  year		= {2008},
  journal	= {Journal of Machine Learning Research},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/logistic.pdf},
  optkey	= {},
  volume	= {9},
  pages		= {627--650},
  optmonth	= {},
  optannote	= {}
}

@Article{	  cjl08a,
  author	= {Chih-Jen Lin and Stefano Lucidi and Laura Palagi and
		  Arnaldo Risi and Marco Sciandrone},
  title		= {Decomposition algorithm model for singly linearly
		  constrained problems subject to lower and upper bounds},
  journal	= {Journal of Optimization Theory and Applications},
  year		= {2009},
  optkey	= {},
  volume	= {141},
  optnumber	= {},
  pages		= {107--126},
  optmonth	= {},
  optannote	= {}
}

@Article{	  htl03b,
  author	= {Hsuan-Tien Lin and Chih-Jen Lin and Ruby C. Weng},
  title		= {A note on {P}latt's probabilistic outputs for support
		  vector machines},
  journal	= {Machine Learning},
  year		= {2007},
  volume	= {68},
  pages		= {267--276},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/plattprob.pdf}
}

@Article{	  kml02a,
  author	= {Kuan-Min Lin and Chih-Jen Lin},
  title		= {A study on reduced support vector machines},
  year		= {2003},
  journal	= {IEEE Transactions on Neural Networks},
  volume	= {14},
  number	= {6},
  pages		= {1449--1559},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/rsvmTEX.pdf}
}

@Article{	  zq22b,
  author	= {Zhongyi Que and Chih-Jen Lin},
  title		= {One-class {SVM} Probabilistic Outputs},
  year		= {2025},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/oneclass_prob/oneclass_prob.pdf},
  journal	= {IEEE Transactions on Neural Networks and Learning
		  Systems},
  optkey	= {},
  opttype	= {},
  optaddress	= {},
  optmonth	= {},
  optannote	= {},
  volume	= {36},
  number	= {4},
  pages		= {6244--6256}
}

@Article{	  ccw15a,
  author	= {Chien-Chih Wang and Chun-Heng Huang and Chih-Jen Lin},
  title		= {Subsampled {H}essian {N}ewton Methods for Supervised
		  Learning},
  journal	= {Neural Computation},
  year		= {2015},
  optkey	= {},
  volume	= {27},
  number	= {8},
  pages		= {1766--1795},
  optmonth	= {},
  publisher	= {MIT Press},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/sub_hessian/sample_hessian.pdf},
  optannote	= {}
}

@Article{	  ccw16a,
  author	= {Chien-Chih Wang and Kent-Loong Tan and Chun-Ting Chen and
		  Yu-Hsiang Lin and S. Sathiya Keerthi and Dhruv Mahajan and
		  Sellamanickam Sundararajan and Chih-Jen Lin},
  title		= {Distributed {N}ewton Methods for Deep Learning},
  journal	= {Neural Computation},
  year		= {2018},
  volume	= {30},
  pages		= {1673--1724},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/dnn/dsh.pdf},
  number	= {6}
}

@Article{	  ccw18a,
  author	= {Wang, Chien-Chih and Tan, Kent Loong and Lin, Chih-Jen},
  title		= {Newton Methods for Convolutional Neural Networks},
  journal	= {ACM Transactions on Intelligent Systems and Technology},
  year		= {2020},
  volume	= {11},
  number	= {2},
  pages		= {19:1--19:30},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/cnn/newton-CNN.pdf}
}

@Article{	  pww13a,
  author	= {Po-Wei Wang and Chih-Jen Lin},
  title		= {Iteration Complexity of Feasible Descent Methods for
		  Convex Optimization},
  journal	= {Journal of Machine Learning Research},
  year		= {2014},
  volume	= {15},
  pages		= {1523--1548},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/cdlinear.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@Article{	  pww15a,
  author	= {Po-Wei Wang and Ching-Pei Lee and Chih-Jen Lin},
  title		= {The Common-directions Method for Regularized Empirical
		  Risk Minimization},
  journal	= {Journal of Machine Learning Research},
  year		= {2019},
  volume	= {20},
  number	= {58},
  pages		= {1-49},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/commdir/commdir.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@Article{	  rcw11a,
  author	= {Ruby C. Weng and Chih-Jen Lin},
  title		= {A {B}ayesian Approximation Method for Online Ranking},
  journal	= {Journal of Machine Learning Research},
  year		= {2011},
  optkey	= {},
  volume	= {12},
  optnumber	= {},
  pages		= {267--300},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/online_ranking/online_journal.pdf},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@Article{	  syw01a,
  author	= {Soon-Yi Wu and Shu-Cherng Fang and Chih-Jen Lin},
  title		= {Solving the General Capacity Problem},
  journal	= {Annals of Operations Research},
  year		= {2001},
  volume	= {103},
  pages		= {193-211}
}

@Article{	  tfw03b,
  author	= {Ting-Fan Wu and Chih-Jen Lin and Ruby C. Weng},
  title		= {Probability Estimates for Multi-class Classification by
		  Pairwise Coupling},
  year		= {2004},
  journal	= {Journal of Machine Learning Research},
  volume	= {5},
  pages		= {975--1005},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/svmprob/svmprob.pdf}
}

@Article{	  jmyang02a,
  author	= {Jinn-Moon Yang and Jorng-Tzong Horng and Chih-Jen Lin and
		  Cheng-Yan Kao},
  title		= {Optical coating design using the family competition
		  evolutionaty algorithm},
  journal	= {Evolutionary Computation},
  volume	= {9},
  number	= {4},
  year		= {2001},
  pages		= {421--444}
}

@Article{	  csy03a,
  author	= {Chin-Sheng Yu and Jung-Ying Wang and Jinn-Moon Yang and
		  Ping-Chiang Lyu and Chih-Jen Lin and Jen-Kang Hwang},
  title		= {Fine-grained protein fold assignment by support vector
		  machines using generalize $n$peptide coding schemes and
		  jury voting from multiple-parameter sets},
  journal	= {Proteins},
  year		= {2003},
  volume	= {50},
  pages		= {531--536}
}

@Article{	  csy04a,
  author	= {Chin-Sheng Yu and Chih-Jen Lin and Jen-Kang Hwang},
  title		= {Predicting subcellular localization of proteins for
		  {G}ram-negative bacteria by support vector machines based
		  on $n$-peptide compositions},
  journal	= {Protein Science},
  year		= {2004},
  volume	= {13},
  pages		= {1402--1406}
}

@Article{	  hfy10a,
  author	= {Hsiang-Fu Yu and Fang-Lan Huang and Chih-Jen Lin},
  title		= {Dual Coordinate Descent Methods for Logistic Regression
		  and Maximum Entropy Models},
  year		= {2011},
  journal	= {Machine Learning},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/maxent_dual.pdf},
  pages		= {41--75},
  month		= {October},
  number	= {1-2},
  volume	= {85}
}

@Article{	  hfy11a,
  author	= {Hsiang-Fu Yu and Cho-Jui Hsieh and Kai-Wei Chang and
		  Chih-Jen Lin},
  title		= {Large linear classification when data cannot fit in
		  memory},
  journal	= {ACM Transactions on Knowledge Discovery from Data},
  year		= {2012},
  pages		= {23:1--23:23},
  month		= {February},
  number	= {4},
  volume	= {5},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/kdd_disk_decomposition.pdf}
}

@Article{	  gxy09a,
  author	= {Guo-Xun Yuan and Kai-Wei Chang and Cho-Jui Hsieh and
		  Chih-Jen Lin},
  title		= {A Comparison of Optimization Methods and software for
		  Large-scale L1-regularized Linear Classification},
  journal	= {Journal of Machine Learning Research},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/l1.pdf},
  year		= {2010},
  volume	= {11},
  optnumber	= {},
  pages		= {3183--3234}
}

@Article{	  gxy11a,
  author	= {Guo-Xun Yuan and Chia-Hua Ho and Chih-Jen Lin},
  title		= {An Improved {GLMNET} for L1-regularized Logistic
		  Regression},
  journal	= {Journal of Machine Learning Research},
  volume	= {13},
  year		= {2012},
  pages		= {1999--2030},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/l1_glmnet/long-glmnet.pdf}
}

@Article{	  gxy11c,
  author	= {Guo-Xun Yuan and Chia-Hua Ho and Chih-Jen Lin},
  title		= {Recent advances of large-scale linear classification},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/survey-linear.pdf},
  journal	= {Proceedings of the IEEE},
  year		= {2012},
  volume	= {100},
  number	= {9},
  pages		= {2584--2603}
}

@Article{	  cc00b,
  author	= {Chih-Chung Chang and Chih-Wei Hsu and Chih-Jen Lin},
  title		= {The Analysis of Decomposition Methods for Support Vector
		  Machines},
  year		= {2000},
  volume	= {11},
  number	= {4},
  pages		= {1003--1008},
  journal	= {IEEE Transactions on Neural Networks}
}

@Article{	  cc01a,
  author	= {Chang, Chih-Chung and Lin, Chih-Jen},
  title		= {{LIBSVM}: a library for support vector machines},
  journal	= {ACM Transactions on Intelligent Systems and Technology},
  volume	= {2},
  number	= {3},
  year		= {2011},
  pages		= {27:1--27:27},
  note		= {Software available at
		  \url{http://www.csie.ntu.edu.tw/~cjlin/libsvm}}
}

@Article{	  cc01b,
  author	= {Chih-Chung Chang and Chih-Jen Lin},
  title		= {Training $\nu$-Support Vector Classifiers: Theory and
		  Algorithms},
  year		= {2001},
  journal	= {Neural Computation},
  volume	= {13},
  number	= {9},
  pages		= {2119--2147}
}

@Article{	  cc01c,
  author	= {Chih-Chung Chang and Chih-Jen Lin},
  title		= {Training $\nu$-Support Vector Regression: Theory and
		  Algorithms},
  journal	= {Neural Computation},
  volume	= {14},
  number	= {8},
  pages		= {1959--1977},
  year		= {2002}
}

@Article{	  kwc07a,
  author	= {Kai-Wei Chang and Cho-Jui Hsieh and Chih-Jen Lin},
  title		= {Coordinate Descent Method for Large-scale {L}2-loss Linear
		  {SVM}},
  journal	= {Journal of Machine Learning Research},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/cdl2.pdf},
  year		= {2008},
  pages		= {1369--1398},
  volume	= {9},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@Article{	  mwc02b,
  author	= {Ming-Wei Chang and Chih-Jen Lin and Ruby C. Weng},
  title		= {Analysis of switching dynamics with competing support
		  vector machines},
  pages		= {720--727},
  volume	= {15},
  number	= {3},
  year		= {2004},
  journal	= {IEEE Transactions on Neural Networks}
}

@Article{	  mwc03a,
  author	= {Ming-Wei Chang and Chih-Jen Lin},
  title		= {Leave-one-out Bounds for Support Vector Regression Model
		  Selection},
  journal	= {Neural Computation},
  volume	= {17},
  number	= {5},
  pages		= {1188--1222},
  year		= {2005}
}

@Article{	  ywc09a,
  author	= {Yin-Wen Chang and Cho-Jui Hsieh and Kai-Wei Chang and
		  Michael Ringgaard and Chih-Jen Lin},
  title		= {Training and Testing Low-degree Polynomial Data Mappings
		  via Linear {SVM}},
  journal	= {Journal of Machine Learning Research},
  year		= {2010},
  pages		= {1471--1490},
  volume	= {11},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/lowpoly_journal.pdf}
}

@Article{	  bjc02a,
  author	= {Bo-Juen Chen and Ming-Wei Chang and Chih-Jen Lin},
  title		= {Load Forecasting Using Support Vector Machines: A Study on
		  {EUNITE} Competition 2001},
  journal	= {IEEE Transactions on Power Systems},
  year		= {2004},
  volume	= {19},
  number	= {4},
  month		= {November},
  pages		= {1821--1830}
}

@Article{	  phc03a,
  author	= {Pai-Hsuen Chen and Chih-Jen Lin and Bernhard Sch\"olkopf},
  title		= {A Tutorial on $\nu$-Support Vector Machines},
  year		= {2005},
  journal	= {Applied Stochastic Models in Business and Industry},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/nusvmtoturial.pdf},
  volume	= {21},
  issue		= {2},
  pages		= {111--136}
}

@Article{	  phc05a,
  author	= {Pai-Hsuen Chen and Rong-En Fan and Chih-Jen Lin},
  title		= {A Study on {SMO}-type Decomposition Methods for Support
		  Vector Machines},
  journal	= {IEEE Transactions on Neural Networks},
  year		= {2006},
  volume	= {17},
  pages		= {893--908},
  month		= {July},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/generalSMO.pdf}
}

@Article{	  wyc11a,
  author	= {Wen-Yen Chen and Yangqiu Song and Hongjie Bai and Chih-Jen
		  Lin and Edward Y. Chang},
  title		= {Parallel Spectral Clustering in Distributed Systems},
  journal	= {IEEE Transactions on Pattern Analysis and Machine
		  Intelligence},
  year		= {2011},
  optkey	= {},
  volume	= {33},
  number	= {3},
  pages		= {568--586},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@Article{	  wsc15a,
  author	= {Wei-Sheng Chin and Yong Zhuang and Yu-Chin Juan and
		  Chih-Jen Lin},
  title		= {A Fast Parallel Stochastic Gradient Method for Matrix
		  Factorization in Shared Memory Systems},
  journal	= {ACM Transactions on Intelligent Systems and Technology},
  optpages	= {},
  year		= {2015},
  opteditor	= {},
  volume	= {6},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/libmf/libmf_journal.pdf},
  optnumber	= {},
  pages		= {2:1--2:24},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@Article{	  wsc15c,
  author	= {Wei-Sheng Chin and Bo-Wen Yuan and Meng-Yuan Yang and Yong
		  Zhuang and Yu-Chin Juan and Chih-Jen Lin},
  title		= {{LIBMF}: A Library for Parallel Matrix Factorization in
		  Shared-memory Systems},
  journal	= {Journal of Machine Learning Research},
  year		= {2016},
  volume	= {17},
  number	= {86},
  pages		= {1-5},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/libmf/libmf_open_source.pdf}
}

@Article{	  wsc18a,
  author	= {Wei-Sheng Chin and Bo-Wen Yuan and Meng-Yuan Yang and
		  Chih-Jen Lin},
  title		= {An Efficient Alternating {N}ewton Method for Learning
		  Factorization Machines},
  journal	= {ACM Transactions on Intelligent Systems and Technology},
  year		= {2018},
  volume	= {9},
  number	= {6},
  pages		= {72:1--72:31},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/fm/scalefm.pdf},
  optkey	= {},
  optvolume	= {},
  optnumber	= {},
  optpages	= {},
  optmonth	= {},
  optannote	= {}
}

@Article{	  kc02b,
  author	= {Kai-Min Chung and Wei-Chun Kao and Chia-Liang Sun and
		  Li-Lun Wang and Chih-Jen Lin},
  title		= {Radius Margin Bounds for Support Vector Machines with the
		  {RBF} Kernel},
  journal	= {Neural Computation},
  volume	= {15},
  pages		= {2643--2681},
  year		= {2003}
}

@Article{	  ref05a,
  author	= {Rong-En Fan and Pai-Hsuen Chen and Chih-Jen Lin},
  title		= {Working Set Selection Using Second Order Information for
		  Training {SVM}},
  year		= {2005},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/quadworkset.pdf},
  journal	= {Journal of Machine Learning Research},
  volume	= {6},
  pages		= {1889--1918},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optannote	= {}
}

@Article{	  ref08a,
  author	= {Rong-En Fan and Kai-Wei Chang and Cho-Jui Hsieh and
		  Xiang-Rui Wang and Chih-Jen Lin},
  title		= {{LIBLINEAR}: a library for large linear classification},
  journal	= {Journal of Machine Learning Research},
  year		= {2008},
  optkey	= {},
  volume	= {9},
  optnumber	= {},
  pages		= {1871--1874},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/liblinear.pdf},
  optmonth	= {},
  optannote	= {}
}

@Article{	  scf01a,
  author	= {Shu-Cherng Fang and Chih-Jen Lin and Soon-Yi Wu},
  title		= {Solving Quadratic Semi-Infinite Programming Problems by
		  Using Relaxed Cutting Plane Scheme},
  journal	= {Journal of Computational and Applied Mathematics},
  year		= {2001},
  volume	= {129},
  pages		= {89-104}
}

@Article{	  lg20a,
  author	= {Leonardo Galli and Chih-Jen Lin},
  journal	= {IEEE Transactions on Neural Networks and Learning
		  Systems},
  title		= {A Study on Truncated {N}ewton Methods for Linear
		  Classification},
  year		= {2022},
  volume	= {33},
  number	= {7},
  pages		= {2828--2841},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/tncg/tncg.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optannote	= {}
}

@Article{	  gg21a,
  author	= {Giulio Galvan and Matteo Lapucci and Chih-Jen Lin and
		  Marco Sciandrone},
  title		= {A Two-Level Decomposition Framework Exploiting First and
		  Second Order Information for {SVM} Training Problems},
  journal	= {Journal of Machine Learning Research},
  year		= {2021},
  volume	= {22},
  number	= {23},
  pages		= {1--38},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/19-632.pdf}
}

@Article{	  chh12a,
  author	= {Chia-Hua Ho and Chih-Jen Lin},
  title		= {Large-scale Linear Support Vector Regression},
  year		= {2012},
  journal	= {Journal of Machine Learning Research},
  volume	= {13},
  optnumber	= {},
  pages		= {3323-3348},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/linear-svr.pdf}
}

@Article{	  jyh19a,
  author	= {Jui-Yang Hsia and Chih-Jen Lin},
  title		= {Parameter Selection for Linear Support Vector Regression},
  journal	= {IEEE Transactions on Neural Networks and Learning
		  Systems},
  year		= {2020},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/warm-start/svr-param.pdf},
  optkey	= {},
  volume	= {31},
  optnumber	= {},
  pages		= {5639--5644},
  optmonth	= {},
  optannote	= {}
}

@Article{	  cwh01a,
  author	= {Chih-Wei Hsu and Chih-Jen Lin},
  title		= {A Comparison of Methods for Multi-class Support Vector
		  Machines},
  journal	= {IEEE Transactions on Neural Networks},
  volume	= {13},
  number	= {2},
  pages		= {415--425},
  year		= {2002}
}

@Article{	  cwh01b,
  author	= {Chih-Wei Hsu and Chih-Jen Lin},
  title		= {A simple decomposition method for support vector
		  machines},
  year		= {2002},
  journal	= {Machine Learning},
  volume	= {46},
  pages		= {291--314}
}

@Article{	  flh09b,
  author	= {Fang-Lan Huang and Cho-Jui Hsieh and Kai-Wei Chang and
		  Chih-Jen Lin},
  title		= {Iterative Scaling and Coordinate Descent Methods for
		  Maximum Entropy},
  journal	= {Journal of Machine Learning Research},
  volume	= {11},
  pages		= {815--848},
  year		= {2010},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/maxent_journal.pdf}
}

@Article{	  tkh08a,
  author	= {Tzu-Kuo Huang and Chih-Jen Lin and Ruby C. Weng},
  title		= {Ranking individuals by group comparisons},
  journal	= {Journal of Machine Learning Research},
  volume	= {9},
  pages		= {2187--2216},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/genBTexp/genBTexp-jmlr.pdf},
  year		= {2008}
}

@Article{	  tkh04a,
  author	= {Tzu-Kuo Huang and Weng, Ruby C. and Chih-Jen Lin},
  title		= {Generalized {B}radley-{T}erry Models and Multi-class
		  Probability Estimates},
  year		= {2006},
  journal	= {Journal of Machine Learning Research},
  volume	= {7},
  pages		= {85--115},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/generalBT.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optannote	= {}
}

@Article{	  kc02a,
  author	= {Wei-Chun Kao and Kai-Min Chung and Chia-Liang Sun and
		  Chih-Jen Lin},
  title		= {Decomposition Methods for Linear Support Vector Machines},
  journal	= {Neural Computation},
  pages		= {1689--1704},
  volume	= {16},
  number	= {8},
  year		= {2004},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/linear.pdf}
}

@Article{	  ssk02b,
  author	= {S. Sathiya Keerthi and Chih-Jen Lin},
  title		= {Asymptotic Behaviors of Support Vector Machines with
		  {G}aussian Kernel},
  journal	= {Neural Computation},
  volume	= {15},
  number	= {7},
  pages		= {1667--1689},
  year		= {2003}
}

@Article{	  cpl12a,
  author	= {Ching-Pei Lee and Chih-Jen Lin},
  title		= {A Study on {L}2-Loss (Squared Hinge-Loss) Multi-Class
		  {SVM}},
  year		= {2013},
  journal	= {Neural Computation},
  volume	= {25},
  number	= {5},
  pages		= {1302--1323},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/l2mcsvm/l2mcsvm.pdf}
}

@Article{	  cpl13a,
  author	= {Ching-Pei Lee and Chih-Jen Lin},
  title		= {Large-scale Linear Rank{SVM}},
  year		= {2014},
  journal	= {Neural Computation},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/ranksvm/ranksvml2.pdf},
  volume	= {26},
  number	= {4},
  pages		= {781--817}
}

@Article{	  cpl20a,
  author	= {Ching-Pei Lee and Po-Wei Wang and Chih-Jen Lin},
  title		= {Limited-memory common-directions method for large-scale
		  optimization: convergence, parallelization, and distributed
		  optimization},
  journal	= {Mathematical Programming Computation},
  year		= {2022},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/l-commdir-journal/l-commdir.pdf},
  volume	= {14},
  optnumber	= {},
  pages		= {543--591}
}

@Article{	  spl00a,
  author	= {Shuo-Peng Liao and Hsuan-Tien Lin and Chih-Jen Lin},
  title		= {A note on the decomposition methods for support vector
		  regression},
  year		= {2002},
  journal	= {Neural Computation},
  volume	= {14},
  pages		= {1267--1281}
}

@Article{	  cjl94b,
  author	= {Shu-Cherng Fang and Chih-Jen Lin and Soon-Yi Wu},
  title		= {On solving convex quadratic semi-infinite programming
		  problems},
  journal	= {Optimization},
  year		= {1994},
  volume	= {37},
  pages		= {107-125}
}

@Article{	  cjl95c,
  author	= {Chih-Jen Lin and E. K. Yang and Shu-Cherng Fang and
		  Soon-Yi Wu},
  title		= {Implementation of an inexact approach to solving linear
		  semi-infinite programming problems},
  journal	= {Journal of Computational and Applied Mathematics},
  year		= {1995},
  volume	= {61},
  pages		= {87--103}
}

@Article{	  cjl96a,
  author	= {Chih-Jen Lin and Soon-Yi Wu and Shu-Cherng Fang},
  title		= {On the parametric linear semi--infinite optimization},
  journal	= {Applied Mathematics Letter},
  year		= {1996},
  volume	= {9},
  pages		= {89--96}
}

@Article{	  cjl97e,
  author	= {Shu-Cherng Fang and Soon-Yi Wu and Chih-Jen Lin},
  title		= {Relaxed cutting plane method for solving linear
		  semi-infinite programming problems},
  year		= {1998},
  journal	= {Journal of Optimization Theory and Applications},
  volume	= {99},
  pages		= {759--779}
}

@Article{	  cjl98b,
  author	= {Chih-Jen Lin and Soon-Yi Wu and Shu-Cherng Fang},
  title		= {An unconstrained convex programming approach for solving
		  linear semi-infinite programming problems},
  journal	= {SIAM Journal on Optimization},
  year		= {1998},
  volume	= {8},
  number	= {2},
  page		= {443-456}
}

@Article{	  cjl99a,
  author	= {Chih-Jen Lin and Jorge J. Mor\'e},
  title		= {Incomplete {C}holesky Factorizations with Limited Memory},
  journal	= {SIAM Journal on Scientific Computing},
  year		= {1999},
  volume	= {21},
  pages		= {24--45}
}

@Article{	  cjl99b,
  author	= {Chih-Jen Lin and Jorge J. Mor\'e},
  title		= {Newton's method for large-scale bound constrained
		  problems},
  year		= {1999},
  journal	= {SIAM Journal on Optimization},
  volume	= {9},
  pages		= {1100--1127}
}

@Article{	  cjl00a,
  author	= {Chih-Jen Lin and Romesh Saigal},
  title		= {An incomplete {C}holesky factorization for dense
		  matrices},
  journal	= {BIT},
  year		= {2000},
  volume	= {40},
  pages		= {536--558}
}

@Article{	  cjl01a,
  author	= {Chih-Jen Lin},
  title		= {Formulations of Support Vector Machines: a Note from an
		  Optimization Point of View},
  year		= {2001},
  journal	= {Neural Computation},
  volume	= {13},
  pages		= {307--317},
  number	= {2}
}

@Article{	  cjl01b,
  author	= {Chih-Jen Lin},
  title		= {A formal analysis of stopping criteria of decomposition
		  methods for support vector machines },
  journal	= {IEEE Transactions on Neural Networks},
  volume	= {13},
  number	= {5},
  pages		= {1045--1052},
  year		= {2002},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/stop.ps.gz}
}

@Article{	  cjl01c,
  author	= {Chih-Jen Lin},
  title		= {On the convergence of the decomposition method for support
		  vector machines},
  year		= {2001},
  journal	= {IEEE Transactions on Neural Networks},
  volume	= {12},
  number	= {6},
  pages		= {1288--1298},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/conv.ps.gz}
}

@Article{	  cjl01d,
  author	= {Chih-Jen Lin},
  title		= {Asymptotic Convergence of an {SMO} Algorithm Without Any
		  Assumptions},
  pages		= {248--250},
  year		= {2002},
  volume	= {13},
  number	= {1},
  journal	= {IEEE Transactions on Neural Networks},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/q2conv.pdf}
}

@Article{	  cjl05b,
  author	= {Chih-Jen Lin},
  title		= {Projected Gradient Methods for Non-negative Matrix
		  Factorization},
  year		= {2007},
  journal	= {Neural Computation},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/pgradnmf.pdf},
  volume	= {19},
  pages		= {2756--2779},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optannote	= {}
}

@Article{	  cjl05c,
  author	= {Chih-Jen Lin},
  title		= {On the Convergence of Multiplicative Update Algorithms for
		  Non-negative Matrix Factorization},
  year		= {2007},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/multconv.pdf},
  journal	= {IEEE Transactions on Neural Networks},
  pages		= {1589--1596},
  volume	= {18},
  optkey	= {},
  opttype	= {},
  number	= {6},
  optaddress	= {},
  optmonth	= {},
  optannote	= {}
}

@Article{	  cjl07b,
  author	= {Chih-Jen Lin and Ruby C. Weng and S. Sathiya Keerthi},
  title		= {Trust region {N}ewton method for large-scale logistic
		  regression},
  year		= {2008},
  journal	= {Journal of Machine Learning Research},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/logistic.pdf},
  optkey	= {},
  volume	= {9},
  pages		= {627--650},
  optmonth	= {},
  optannote	= {}
}

@Article{	  cjl08a,
  author	= {Chih-Jen Lin and Stefano Lucidi and Laura Palagi and
		  Arnaldo Risi and Marco Sciandrone},
  title		= {Decomposition algorithm model for singly linearly
		  constrained problems subject to lower and upper bounds},
  journal	= {Journal of Optimization Theory and Applications},
  year		= {2009},
  optkey	= {},
  volume	= {141},
  optnumber	= {},
  pages		= {107--126},
  optmonth	= {},
  optannote	= {}
}

@Article{	  htl03b,
  author	= {Hsuan-Tien Lin and Chih-Jen Lin and Ruby C. Weng},
  title		= {A note on {P}latt's probabilistic outputs for support
		  vector machines},
  journal	= {Machine Learning},
  year		= {2007},
  volume	= {68},
  pages		= {267--276},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/plattprob.pdf}
}

@Article{	  kml02a,
  author	= {Kuan-Min Lin and Chih-Jen Lin},
  title		= {A study on reduced support vector machines},
  year		= {2003},
  journal	= {IEEE Transactions on Neural Networks},
  volume	= {14},
  number	= {6},
  pages		= {1449--1559},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/rsvmTEX.pdf}
}

@Article{	  zq22b,
  author	= {Zhongyi Que and Chih-Jen Lin},
  title		= {One-class {SVM} Probabilistic Outputs},
  year		= {2025},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/oneclass_prob/oneclass_prob.pdf},
  journal	= {IEEE Transactions on Neural Networks and Learning
		  Systems},
  optkey	= {},
  opttype	= {},
  optaddress	= {},
  optmonth	= {},
  optannote	= {},
  volume	= {36},
  number	= {4},
  pages		= {6244--6256}
}

@Article{	  ccw15a,
  author	= {Chien-Chih Wang and Chun-Heng Huang and Chih-Jen Lin},
  title		= {Subsampled {H}essian {N}ewton Methods for Supervised
		  Learning},
  journal	= {Neural Computation},
  year		= {2015},
  optkey	= {},
  volume	= {27},
  number	= {8},
  pages		= {1766--1795},
  optmonth	= {},
  publisher	= {MIT Press},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/sub_hessian/sample_hessian.pdf},
  optannote	= {}
}

@Article{	  ccw16a,
  author	= {Chien-Chih Wang and Kent-Loong Tan and Chun-Ting Chen and
		  Yu-Hsiang Lin and S. Sathiya Keerthi and Dhruv Mahajan and
		  Sellamanickam Sundararajan and Chih-Jen Lin},
  title		= {Distributed {N}ewton Methods for Deep Learning},
  journal	= {Neural Computation},
  year		= {2018},
  volume	= {30},
  pages		= {1673--1724},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/dnn/dsh.pdf},
  number	= {6}
}

@Article{	  ccw18a,
  author	= {Wang, Chien-Chih and Tan, Kent Loong and Lin, Chih-Jen},
  title		= {Newton Methods for Convolutional Neural Networks},
  journal	= {ACM Transactions on Intelligent Systems and Technology},
  year		= {2020},
  volume	= {11},
  number	= {2},
  pages		= {19:1--19:30},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/cnn/newton-CNN.pdf}
}

@Article{	  pww13a,
  author	= {Po-Wei Wang and Chih-Jen Lin},
  title		= {Iteration Complexity of Feasible Descent Methods for
		  Convex Optimization},
  journal	= {Journal of Machine Learning Research},
  year		= {2014},
  volume	= {15},
  pages		= {1523--1548},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/cdlinear.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@Article{	  pww15a,
  author	= {Po-Wei Wang and Ching-Pei Lee and Chih-Jen Lin},
  title		= {The Common-directions Method for Regularized Empirical
		  Risk Minimization},
  journal	= {Journal of Machine Learning Research},
  year		= {2019},
  volume	= {20},
  number	= {58},
  pages		= {1-49},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/commdir/commdir.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@Article{	  rcw11a,
  author	= {Ruby C. Weng and Chih-Jen Lin},
  title		= {A {B}ayesian Approximation Method for Online Ranking},
  journal	= {Journal of Machine Learning Research},
  year		= {2011},
  optkey	= {},
  volume	= {12},
  optnumber	= {},
  pages		= {267--300},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/online_ranking/online_journal.pdf},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@Article{	  syw01a,
  author	= {Soon-Yi Wu and Shu-Cherng Fang and Chih-Jen Lin},
  title		= {Solving the General Capacity Problem},
  journal	= {Annals of Operations Research},
  year		= {2001},
  volume	= {103},
  pages		= {193-211}
}

@Article{	  tfw03b,
  author	= {Ting-Fan Wu and Chih-Jen Lin and Ruby C. Weng},
  title		= {Probability Estimates for Multi-class Classification by
		  Pairwise Coupling},
  year		= {2004},
  journal	= {Journal of Machine Learning Research},
  volume	= {5},
  pages		= {975--1005},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/svmprob/svmprob.pdf}
}

@Article{	  jmyang02a,
  author	= {Jinn-Moon Yang and Jorng-Tzong Horng and Chih-Jen Lin and
		  Cheng-Yan Kao},
  title		= {Optical coating design using the family competition
		  evolutionaty algorithm},
  journal	= {Evolutionary Computation},
  volume	= {9},
  number	= {4},
  year		= {2001},
  pages		= {421--444}
}

@Article{	  csy03a,
  author	= {Chin-Sheng Yu and Jung-Ying Wang and Jinn-Moon Yang and
		  Ping-Chiang Lyu and Chih-Jen Lin and Jen-Kang Hwang},
  title		= {Fine-grained protein fold assignment by support vector
		  machines using generalize $n$peptide coding schemes and
		  jury voting from multiple-parameter sets},
  journal	= {Proteins},
  year		= {2003},
  volume	= {50},
  pages		= {531--536}
}

@Article{	  csy04a,
  author	= {Chin-Sheng Yu and Chih-Jen Lin and Jen-Kang Hwang},
  title		= {Predicting subcellular localization of proteins for
		  {G}ram-negative bacteria by support vector machines based
		  on $n$-peptide compositions},
  journal	= {Protein Science},
  year		= {2004},
  volume	= {13},
  pages		= {1402--1406}
}

@Article{	  hfy10a,
  author	= {Hsiang-Fu Yu and Fang-Lan Huang and Chih-Jen Lin},
  title		= {Dual Coordinate Descent Methods for Logistic Regression
		  and Maximum Entropy Models},
  year		= {2011},
  journal	= {Machine Learning},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/maxent_dual.pdf},
  pages		= {41--75},
  month		= {October},
  number	= {1-2},
  volume	= {85}
}

@Article{	  hfy11a,
  author	= {Hsiang-Fu Yu and Cho-Jui Hsieh and Kai-Wei Chang and
		  Chih-Jen Lin},
  title		= {Large linear classification when data cannot fit in
		  memory},
  journal	= {ACM Transactions on Knowledge Discovery from Data},
  year		= {2012},
  pages		= {23:1--23:23},
  month		= {February},
  number	= {4},
  volume	= {5},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/kdd_disk_decomposition.pdf}
}

@Article{	  gxy09a,
  author	= {Guo-Xun Yuan and Kai-Wei Chang and Cho-Jui Hsieh and
		  Chih-Jen Lin},
  title		= {A Comparison of Optimization Methods and software for
		  Large-scale L1-regularized Linear Classification},
  journal	= {Journal of Machine Learning Research},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/l1.pdf},
  year		= {2010},
  volume	= {11},
  optnumber	= {},
  pages		= {3183--3234}
}

@Article{	  gxy11a,
  author	= {Guo-Xun Yuan and Chia-Hua Ho and Chih-Jen Lin},
  title		= {An Improved {GLMNET} for L1-regularized Logistic
		  Regression},
  journal	= {Journal of Machine Learning Research},
  volume	= {13},
  year		= {2012},
  pages		= {1999--2030},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/l1_glmnet/long-glmnet.pdf}
}

@Article{	  gxy11c,
  author	= {Guo-Xun Yuan and Chia-Hua Ho and Chih-Jen Lin},
  title		= {Recent advances of large-scale linear classification},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/survey-linear.pdf},
  journal	= {Proceedings of the IEEE},
  year		= {2012},
  volume	= {100},
  number	= {9},
  pages		= {2584--2603}
}

@InProceedings{	  ccc99a,
  author	= {Chih-Chung Chang and Chih-Wei Hsu and Chih-Jen Lin},
  title		= {The Analysis of Decomposition Methods for Support Vector
		  Machines},
  booktitle	= {Workshop on {S}upport {V}ector {M}achines, {IJCAI}99},
  year		= {1999}
}

@InProceedings{	  chang01d,
  author	= {Chih-Chung Chang and Chih-Jen Lin},
  title		= {{IJCNN} 2001 Challenge: Generalization Ability and Text
		  Decoding},
  booktitle	= {Proceedings of IJCNN},
  publisher	= {IEEE},
  year		= {2001}
}

@InProceedings{	  cyc20a,
  author	= {Chih-Yao Chang and Xing Tang and Bowen Yuan and Jui-Yang
		  Hsia and Zhirong Liu and Zhenhua Dong and Xiuqiang He and
		  Chih-Jen Lin},
  booktitle	= {Proceedings of the 21st IEEE International Conference on
		  Mobile Data Management (MDM)},
  title		= {Auto{C}onjunction: adaptive model-based feature
		  conjunction for {CTR} prediction},
  year		= {2020},
  volume	= {},
  number	= {},
  pages		= {202-209}
}

@InProceedings{	  mwc02a,
  author	= {Ming-Wei Chang and Chih-Jen Lin and Ruby C. Weng},
  title		= {Analysis of switching dynamics with competing support
		  vector machines },
  year		= {2002},
  booktitle	= {Proceedings of IJCNN},
  pages		= {2387--2392}
}

@InProceedings{	  mwc02c,
  author	= {Ming-Wei Chang and Chih-Jen Lin and Ruby C. Weng},
  title		= {Analysis of nonstationary time series using support vector
		  machines},
  year		= {2002},
  booktitle	= {Proceedings of SVM 2002},
  pages		= {160--170},
  editor	= {Seong-Whan Lee and Alessandro Verri},
  series	= {Lecture Notes in Computer Science 2388},
  publisher	= {Springer-Verlag Inc.},
  address	= {New York, NY, USA}
}

@InProceedings{	  mwc02e,
  author	= {Ming-Wei Chang and Chih-Jen Lin and Ruby C. Weng},
  title		= {Adaptive deterministic annealing for two applications:
		  competing {SVR} of switching dynamics and travelling
		  salesman problems},
  booktitle	= {Proceedings of ICONIP 2002},
  pages		= {920--924},
  year		= {2002}
}

@InProceedings{	  ywc08a,
  author	= {Yin-Wen Chang and Chih-Jen Lin},
  title		= {Feature Ranking Using Linear {SVM}},
  booktitle	= {JMLR Workshop and Conference Proceedings: Causation and
		  Prediction Challenge (WCCI 2008)},
  optcrossref	= {},
  optkey	= {},
  pages		= {53--64},
  year		= {2008},
  opteditor	= {},
  volume	= {3},
  optnumber	= {},
  optseries	= {},
  optaddress	= {},
  optmonth	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/causality.pdf}
}

@InProceedings{	  ktc25a,
  title		= {Revisiting one-versus-one and one-versus-rest: insights
		  into imbalanced multi-class classification},
  author	= {Kuan-Ting Chen and Chih-Jen Lin},
  booktitle	= {Proceedings of the IEEE International Conference on Data
		  Mining (ICDM)},
  pages		= {},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/ovo-ovr/OVO-OVR.pdf},
  year		= {2025}
}

@InProceedings{	  phc05b,
  author	= {Pai-Hsuen Chen and Rong-En Fan and Chih-Jen Lin},
  title		= {Training Support Vector Machines via SMO-type
		  Decomposition Methods},
  booktitle	= { Proceedings of the 16th International Conference on
		  Algorithmic Learning Theory (ALT 2005)},
  optcrossref	= {},
  optkey	= {},
  pages		= {45--62},
  year		= {2005},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optaddress	= {},
  optmonth	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  swc24a,
  author	= {Sheng-Wei Chen and Chih-Jen Lin},
  title		= {One-class matrix factorization: point-wise
		  regression-based or pair-wise ranking-based?},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the 18th ACM Recommender Systems
		  Conference},
  year		= {2024},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  swc24b,
  title		= "Random Label Forests: An Ensemble Method with Label
		  Subsampling For Extreme Multi-Label Problems",
  author	= "Chen, Sheng-Wei and Lin, Chih-Jen",
  booktitle	= "Findings of the Association for Computational Linguistics:
		  EMNLP",
  year		= "2024",
  pages		= "14107--14119",
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/random_label_forests/main.pdf}
}

@InProceedings{	  sac22a,
  author	= {Si-An Chen and Jie-Jyun Liu and Tsung-Han Yang and
		  Hsuan-Tien Lin and Chih-Jen Lin},
  title		= {Even the Simplest Baseline Needs Careful Re-investigation:
		  A Case Study on {XML-CNN}},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the Annual Conference of the North
		  {A}merican Chapter of the Association for Computational
		  Linguistics (NAACL)},
  year		= {2022},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/xmlcnn/xml_cnn_study.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  pages		= {1987--2000},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  sac25a,
  author	= {Si-An Chen and Hsuan-Tien Lin and Chih-Jen Lin},
  title		= {Preserving zero-shot capability in supervised fine-tuning
		  for multi-label text classification},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Findings of the Association for Computational Linguistics:
		  NAACL},
  year		= {2025},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/zero_shot_one_side_tuning/zero_shot_one_side_tuning.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  pages		= {5699--5712},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  wlc16a,
  author	= {Wei-Lin Chiang and Mu-Chu Lee and Chih-Jen Lin},
  title		= {Parallel dual coordinate descent method for large-scale
		  linear classification in multi-core environments},
  year		= {2016},
  booktitle	= {Proceedings of the 22nd ACM SIGKDD International
		  Conference on Knowledge Discovery and Data Mining (KDD)},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/multicore_cddual.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  wlc17a,
  author	= {Wei-Lin Chiang and Yu-Sheng Li and Ching-Pei Lee and
		  Chih-Jen Lin},
  title		= {Limited-memory Common-directions Method for Distributed
		  L1-regularized Linear Classification},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  year		= {2018},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/l-commdir-l1/OWL-commdir.pdf}
}

@InProceedings{	  wsc15b,
  author	= {Wei-Sheng Chin and Yong Zhuang and Yu-Chin Juan and
		  Chih-Jen Lin},
  title		= {A Learning-rate Schedule for Stochastic Gradient Methods
		  to Matrix Factorization},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the Pacific-Asia Conference on Knowledge
		  Discovery and Data Mining (PAKDD)},
  year		= {2015},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/libmf/mf_adaptive_pakdd.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  ccc18a,
  author	= {Chi-Cheng Chiu and Pin-Yen Lin and Chih-Jen Lin},
  title		= {Two-variable Block Dual Coordinate Descent Methods for
		  Large-scale Linear Support Vector Machines},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  year		= {2020},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/2var_cd/twocddual.pdf}
}

@InProceedings{	  hyc20a,
  author	= {Hung-Yi Chou and Pin-Yen Lin and Chih-Jen Lin},
  title		= {Dual Coordinate-Descent Methods for Linear One-Class {SVM}
		  and {SVDD}},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  year		= {2020},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/linear_oneclass_SVM/siam.pdf}
}

@InProceedings{	  byc15a,
  author	= {Bo-Yu Chu and Chia-Hua Ho and Cheng-Hao Tsai and Chieh-Yen
		  Lin and Chih-Jen Lin},
  title		= {Warm Start for Parameter Selection of Linear Classifiers},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the 21th ACM SIGKDD International
		  Conference on Knowledge Discovery and Data Mining (KDD)},
  year		= {2015},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/warm-start/warm-start.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  kc02c,
  author	= {Kai-Min Chung and Wei-Chun Kao and Tony Sun and Li-Lun
		  Wang and Chih-Jen Lin},
  title		= {Radius Margin Bounds for Support Vector Machines with the
		  {RBF} Kernel},
  year		= {2002},
  pages		= {893--897},
  booktitle	= {Proceedings of ICONIP 2002}
}

@InProceedings{	  kc03a,
  author	= {Kai-Min Chung and Wei-Chun Kao and Tony Sun and Chih-Jen
		  Lin},
  title		= {Decomposition Methods for Linear Support Vector Machines},
  year		= {2003},
  pages		= {868--871},
  booktitle	= {Proceedings of ICASSP 2003}
}

@InProceedings{	  rh13a,
  author	= {Raffay Hamid and Dennis Decoste and Chih-Jen Lin},
  title		= {Dense Non-rigid Point-Matching Using Random Projections},
  booktitle	= {The IEEE Conference on Computer Vision and Pattern
		  Recognition (CVPR)},
  year		= {2013}
}

@InProceedings{	  chh10a,
  author	= {Chia-Hua Ho and Ming-Hen Tsai and Chih-Jen Lin},
  title		= {Active Learning and Experimental Design with {SVM}s},
  booktitle	= {JMLR Workshop and Conference Proceedings: Workshop on
		  Active Learning and Experimental Design},
  year		= {2011},
  pages		= {71--84},
  volume	= {16},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/activelearning/activelearning.pdf}
}

@InProceedings{	  cyh17a,
  author	= {Chih-Yang Hsia and Ya Zhu and Chih-Jen Lin},
  title		= {A Study on Trust Region Update Rules in {N}ewton Methods
		  for Large-scale Linear Classification},
  booktitle	= {Proceedings of the {A}sian Conference on Machine Learning
		  ({ACML})},
  year		= {2017},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/newtron/newtron.pdf}
}

@InProceedings{	  cyh17b,
  author	= {Chih-Yang Hsia and Wei-Lin Chiang and Chih-Jen Lin},
  title		= {Preconditioned Conjugate Gradient Methods in Truncated
		  {N}ewton Frameworks for Large-scale Linear Classification},
  booktitle	= {Proceedings of the Asian Conference on Machine Learning
		  (ACML)},
  year		= {2018},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/tron_pcg/precondition.pdf}
}

@InProceedings{	  cjh08a,
  author	= {Cho-Jui Hsieh and Kai-Wei Chang and Chih-Jen Lin and S.
		  Sathiya Keerthi and Sellamanickam Sundararajan},
  title		= {A dual coordinate descent method for large-scale linear
		  {SVM}},
  booktitle	= {Proceedings of the Twenty Fifth International Conference
		  on Machine Learning (ICML)},
  year		= {2008},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/cddual.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optannote	= {}
}

@InProceedings{	  flh09a,
  author	= {Fang-Lan Huang and Cho-Jui Hsieh and Kai-Wei Chang and
		  Chih-Jen Lin},
  title		= {Iterative Scaling and Coordinate Descent Methods for
		  Maximum Entropy},
  booktitle	= {Proceedings of the 47th Annual Meeting of the Association
		  of Computational Linguistics (ACL)},
  year		= {2009},
  note		= {Short paper}
}

@InProceedings{	  hyh16a,
  author	= {Hsin-Yuan Huang and Chih-Jen Lin},
  title		= {Linear and Kernel Classification: When to Use Which?},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  year		= {2016},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/kernel-check/kcheck.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  tkh06a,
  author	= {Tzu-Kuo Huang and Chih-Jen Lin and Ruby C. Weng},
  title		= {Ranking individuals by group comparisons},
  booktitle	= {Proceedings of the Twenty Third International Conference
		  on Machine Learning (ICML)},
  year		= {2006}
}

@InCollection{	  tkh04b,
  author	= {Tzu-Kuo Huang and Ruby C. Weng and Chih-Jen Lin},
  title		= {A Generalized {B}radley-{T}erry Model: From Group
		  Competition to Individual Skill},
  booktitle	= "Advances in Neural Information Processing Systems 17",
  publisher	= "MIT Press",
  address	= "Cambridge, MA",
  year		= "2005"
}

@InProceedings{	  yj16a,
  author	= {Yuchin Juan and Yong Zhuang and Wei-Sheng Chin and
		  Chih-Jen Lin},
  title		= {Field-aware factorization machines for {CTR} Prediction},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the ACM Recommender Systems Conference
		  (RecSys)},
  year		= {2016},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/ffm.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  ssk08a,
  author	= {S. Sathiya Keerthi and Sellamanickam Sundararajan and
		  Kai-Wei Chang and Cho-Jui Hsieh and Chih-Jen Lin},
  title		= {A Sequential Dual Method for Large Scale Multi-Class
		  Linear {SVM}s},
  booktitle	= {Proceedings of the Forteenth ACM SIGKDD International
		  Conference on Knowledge Discovery and Data Mining},
  year		= {2008},
  pages		= {408--416},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/sdm_kdd.pdf}
}

@InProceedings{	  ak13a,
  author	= {Aditya Khosla and Raffay Hamid and Chih-Jen Lin and Neel
		  Sundaresan},
  title		= {Large-Scale Video Summarization Using Web-Image Priors},
  booktitle	= {Proceedings of the IEEE Conference on Computer Vision and
		  Pattern Recognition (CVPR)},
  year		= {2013}
}

@InProceedings{	  tmk14a,
  author	= {Tzu-Ming Kuo and Ching-Pei Lee and Chih-Jen Lin},
  title		= {Large-scale Kernel Rank{SVM}},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  optpages	= {},
  year		= {2014},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optaddress	= {},
  optmonth	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/ranksvm/kernel.pdf},
  optannote	= {}
}

@InProceedings{	  cpl17a,
  author	= {Ching-Pei Lee and Po-Wei Wang and Weizhu Chen and Chih-Jen
		  Lin},
  title		= {Limited-memory Common-directions Method for Distributed
		  Optimization and its Application on Empirical Risk
		  Minimization},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  year		= {2017},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/l-commdir/l-commdir.pdf}
}

@InProceedings{	  mcl15a,
  author	= {Mu-Chu Lee and Wei-Lin Chiang and Chih-Jen Lin},
  title		= {Fast Matrix-vector Multiplications for Large-scale
		  Logistic Regression on Shared-memory Systems},
  year		= {2015},
  booktitle	= {Proceedings of the IEEE International Conference on Data
		  Mining (ICDM)},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/multicore_liblinear_icdm.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  liao01a,
  author	= {Shuo-Peng Liao and Hsuan-Tien Lin and Chih-Jen Lin},
  title		= {A note on the decomposition methods for support vector
		  regression},
  booktitle	= {Proceedings of IJCNN},
  year		= {2001}
}

@InProceedings{	  cyl14a,
  author	= {Chieh-Yen Lin and Cheng-Hao Tsai and Ching-Pei Lee and
		  Chih-Jen Lin},
  title		= {Large-scale logistic regression and linear support vector
		  machines using {S}park},
  booktitle	= {Proceedings of the IEEE International Conference on Big
		  Data},
  year		= {2014},
  pages		= {519--528},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/spark-liblinear/spark-liblinear.pdf}
}

@InProceedings{	  cjl97c,
  author	= {Chih-Jen Lin},
  title		= {Preconditioning dense linear systems from large-scale
		  semidefinite programming problems},
  booktitle	= {Proceedings of the Fifth Copper Mountain conference on
		  iterative methods},
  year		= {1998}
}

@InProceedings{	  lin99c,
  author	= {Chih-Jen Lin and Nestor Michelena and Romesh Saigal},
  title		= {Topological fixture synthesis using semidefinite
		  programming},
  booktitle	= {Proceedings of the Third World Congress of Structural and
		  Multidisciplinary Optimization (WCSMO-3)},
  year		= 1999,
  month		= {May 17-21}
}

@InProceedings{	  cjl07a,
  author	= {Chih-Jen Lin and Ruby C. Weng and S. Sathiya Keerthi},
  title		= {Trust region {N}ewton method for large-scale logistic
		  regression},
  booktitle	= {Proceedings of the 24th International Conference on
		  Machine Learning (ICML)},
  year		= {2007},
  note		= {Software available at
		  \url{http://www.csie.ntu.edu.tw/~cjlin/liblinear}}
}

@InProceedings{	  hzl24b,
  title		= "Exploring Space Efficiency in a Tree-based Linear Model
		  for Extreme Multi-label Classification",
  author	= "Lin, He-Zhe and Liu, Cheng-Hung and Lin, Chih-Jen",
  booktitle	= "Proceedings of the Conference on Empirical Methods in
		  Natural Language Processing (EMNLP)",
  year		= "2024",
  pages		= {16245--16260},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/multilabel_tree_model_size/multilabel_tree_model_size.pdf}
}

@InProceedings{	  hzl24c,
  author	= {He-Zhe Lin and Zhi-Bao Lu and Sheng-Wei Chen and
		  Cheng-Hung Liu and Chih-Jen Lin},
  title		= {On the Weight Density of L2-Regularized Linear
		  Classification and Regression},
  booktitle	= {Proceedings of the Twenty-Ninth Annual Conference on
		  Artificial Intelligence and Statistics (AISTATS)},
  year		= {2026},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/dual-space/dual-space.pdf}
}

@InProceedings{	  lcl22a,
  author	= {Li-Chung Lin and Cheng-Hung Liu and Chih-Ming Chen and
		  Kai-Chin Hsu and I-Feng Wu and Ming-Feng Tsai and Chih-Jen
		  Lin},
  title		= {On the use of unrealistic predictions in hundreds of
		  papers evaluating graph representations},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the Thirty-Sixth AAAI Conference on
		  Artificial Intelligence (AAAI)},
  year		= {2022},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/multilabel-embedding/multilabel_embedding.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  pages		= {7479--7487},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  lcl25a,
  author	= {Li-Chung Lin and Yaxu Liu and Chih-Jen Lin},
  title		= {Sampled Estimators for Softmax Must Be Biased},
  booktitle	= {Advances in Neural Information Processing Systems
		  (NeurIPS)},
  volume	= {38},
  year		= {2025},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/softmax_biased/softmax_bias.pdf}
}

@InProceedings{	  ycl22a,
  author	= {Yu-Chen Lin and Si-An Chen and Jie-Jyun Liu and Chih-Jen
		  Lin},
  title		= {Linear Classifier: An Often-Forgotten Baseline for Text
		  Classification},
  booktitle	= {Proceedings of the 61st Annual Meeting of the Association
		  for Computational Linguistics (ACL)},
  year		= {2023},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/text_classification_baseline/text_classification_baseline.pdf},
  note		= {Short paper},
  pages		= {1876--1888}
}

@InProceedings{	  yjl23b,
  title		= {On the thresholding strategy for infrequent labels in
		  multi-label classification},
  author	= {Yu-Jen Lin and Chih-Jen Lin},
  booktitle	= {Proceedings of the 32nd ACM International Conference on
		  Information and Knowledge Management (CIKM)},
  year		= {2023},
  doi		= {10.1145/3583780.3614996},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/thresholding/smooth_acm.pdf},
  pages		= {1441--1450}
}

@InProceedings{	  jjl21a,
  author	= {Jie-Jyun Liu and Tsung-Han Yang and Si-An Chen and
		  Chih-Jen Lin},
  title		= {Parameter Selection: Why We Should Pay More Attention to
		  It},
  booktitle	= {Proceedings of the 59th Annual Meeting of the Association
		  of Computational Linguistics (ACL)},
  year		= {2021},
  pages		= {825--830},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/parameter_selection/acl2021_parameter_selection.pdf},
  note		= {Short paper}
}

@InProceedings{	  yl22a,
  author	= {Yaxu Liu and Jui-Nan Yen and Bowen Yuan and Rundong Shi
		  and Peng Yan and Chih-Jen Lin},
  title		= {Practical Counterfactual Policy Learning for Top-$K$
		  Recommendations},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the 28th ACM SIGKDD Conference on Knowledge
		  Discovery and Data Mining (KDD)},
  year		= {2022},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/counterfactual_topk/xcf.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  yl24a,
  author	= {Yaxu Liu and Li-Chung Lin and Chih-Jen Lin},
  title		= {Examining the Bias of In-Batch Sampling in Similarity
		  Learning with Two-Tower Models},
  booktitle	= {Proceedings of the Twenty-Ninth Annual Conference on
		  Artificial Intelligence and Statistics (AISTATS)},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/inbatch_bias/inbatch_bias.pdf},
  year		= {2026}
}

@InProceedings{	  knpd25a,
  author	= {Nguyen Pham Dang, Khoi and Lin, He-Zhe and Lin, Chih-Jen},
  title		= {SparseKmeans: Efficient K-means Clustering For Sparse
		  Data},
  booktitle	= {Proceedings of the 34th ACM International Conference on
		  Information and Knowledge Management (CIKM)},
  pages		= {},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/sparse_kmeans/sparsekmeans-cikm.pdf},
  year		= {2025}
}

@InProceedings{	  ys08a,
  author	= "Yangqiu Song and Wen-Yen Chen and Hongjie Bai and Chih-Jen
		  Lin and Edward Y. Chang",
  title		= "Parallel Spectral Clustering",
  booktitle	= "European Conference on Machine Learning and Principles and
		  Practice of Knowledge Discovery in Databases (ECML/PKDD)",
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/ecml08.pdf},
  year		= "2008"
}

@InProceedings{	  cht14a,
  author	= {Cheng-Hao Tsai and Chieh-Yen Lin and Chih-Jen Lin},
  title		= {Incremental and decremental training for linear
		  classification},
  booktitle	= {Proceedings of the 20th ACM SIGKDD International
		  Conference on Knowledge Discovery and Data Mining},
  year		= {2014},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/ws/inc-dec.pdf}
}

@InProceedings{	  xw26a,
  author	= {Xiyuan Wei and Chih-Jen Lin and Tianbao Yang},
  title		= {{NeuCLIP}: Efficient Large-Scale {CLIP} Training with
		  Neural Normalizer Optimization},
  booktitle	= {Proceedings of the Fourteenth International Conference on
		  Learning Representations (ICLR)},
  optcrossref	= {},
  optkey	= {},
  year		= {2026},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/neuclip/iclr2026_conference.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InCollection{	  tfw03a,
  author	= "Ting-Fan Wu and Chih-Jen Lin and Ruby C. Weng",
  title		= "Probability Estimates for Multi-Class Classification by
		  Pairwise Coupling",
  booktitle	= "Advances in Neural Information Processing Systems 16",
  editor	= "Sebastian Thrun and Lawrence Saul and Bernhard
		  {Sch\"{o}lkopf}",
  publisher	= "MIT Press",
  address	= "Cambridge, MA",
  year		= "2004",
  keywords	= "Markov chains, multi-class learning, multi-class
		  prediction, optimization, support vector machines, voting
		  methods"
}

@InProceedings{	  jny21a,
  author	= {Jui-Nan Yen and Chih-Jen Lin},
  title		= {Limited-memory Common-directions Method With Subsampled
		  Newton Directions for Large-scale Linear Classification},
  booktitle	= {Proceedings of the IEEE International Conference on Data
		  Mining (ICDM)},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/commdir_subsampled/main.pdf},
  year		= {2021}
}

@InProceedings{	  hfy10b,
  author	= {Hsiang-Fu Yu and Cho-Jui Hsieh and Kai-Wei Chang and
		  Chih-Jen Lin},
  title		= {Large linear classification when data cannot fit in
		  memory},
  booktitle	= {Proceedings of the Sixteenth ACM SIGKDD International
		  Conference on Knowledge Discovery and Data Mining},
  year		= {2010},
  pages		= {833--842},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/kdd_disk_decomposition.pdf}
}

@InProceedings{	  hfy16a,
  author	= {Hsiang-Fu Yu and Mikhail Bilenko and Chih-Jen Lin},
  title		= {Selection of Negative Samples for One-class Matrix
		  Factorization},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  year		= {2017},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/one-class-mf/biased-mf-sdm-with-supp.pdf}
}

@InProceedings{	  hfy17a,
  author	= {Hsiang-Fu Yu and Hsin-Yuan Huang and Inderjit S. Dihillon
		  and Chih-Jen Lin},
  title		= {A Unified Algorithm for One-class Structured Matrix
		  Factorization with Side Information},
  booktitle	= {Proceedings of the Thirty-First AAAI Conference on
		  Artificial Intelligence (AAAI)},
  year		= {2017},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/ocmf-side/biased-leml-aaai-with-supp.pdf}
}

@Article{	  mcy14a,
  author	= {Meng-Chieh Yu and Tong Yu and Shao-Chen Wang and Chih-Jen
		  Lin and Edward Y. Chang},
  title		= {Big Data Small Footprint: The Design of A Low-Power
		  Classifier for Detecting Transportation Modes},
  journal	= {Proceedings of the VLDB Endowment},
  volume	= {7},
  year		= {2014},
  pages		= {1429--1440}
}

@InProceedings{	  by19b,
  author	= {Bowen Yuan and Jui-Yang Hsia and Meng-Yuan Yang and Hong
		  Zhu and Chihyao Chang and Zhenhua Dong and Chih-Jen Lin},
  title		= {Improving {A}d Click Prediction by Considering
		  Non-displayed Events},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/occtr/ctr_oc.pdf},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the 28th ACM International Conference on
		  Conference on Information and Knowledge Management (CIKM)},
  year		= {2019},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  by20a,
  author	= {Bowen Yuan and Yaxu Liu and Jui-Yang Hsia and Zhenhua Dong
		  and Chih-Jen Lin},
  title		= {Unbiased Ad click prediction for position-aware
		  advertising systems},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/debiases/debiases.pdf},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the 14th ACM Conference on Recommender
		  Systems},
  year		= {2020},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  by21a,
  author	= {Bowen Yuan and Yu-Sheng Li and Pengrui Quan and Chih-Jen
		  Lin},
  title		= {Efficient optimization methods for extreme similarity
		  learning with nonlinear embeddings},
  booktitle	= {Proceedings of the ACM SIGKDD International Conference on
		  Knowledge Discovery and Data Mining (KDD)},
  year		= {2021},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/similarity_learning/pq.pdf}
}

@InProceedings{	  gxy11b,
  author	= {Guo-Xun Yuan and Chia-Hua Ho and Chih-Jen Lin},
  title		= {An Improved {GLMNET} for L1-regularized Logistic
		  Regression},
  booktitle	= {Proceedings of the Seventeenth ACM SIGKDD International
		  Conference on Knowledge Discovery and Data Mining},
  year		= {2011},
  pages		= {33--41}
}

@InProceedings{	  yz13a,
  author	= {Yong Zhuang and Wei-Sheng Chin and Yu-Chin Juan and
		  Chih-Jen Lin},
  title		= {A fast parallel {SGD} for matrix factorization in shared
		  memory systems},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the ACM Recommender Systems},
  optpages	= {},
  year		= {2013},
  opteditor	= {},
  optvolume	= {},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/libmf.pdf},
  optnumber	= {},
  optseries	= {},
  optaddress	= {},
  optmonth	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  yz14a,
  author	= {Yong Zhuang and Wei-Sheng Chin and Yu-Chin Juan and
		  Chih-Jen Lin},
  title		= {Distributed {N}ewton method for regularized logistic
		  regression},
  booktitle	= {Proceedings of the Pacific-Asia Conference on Knowledge
		  Discovery and Data Mining (PAKDD)},
  year		= {2015}
}

@InProceedings{	  yz17a,
  author	= {Yong Zhuang and Yuchin Juan and Guo-Xun Yuan and Chih-Jen
		  Lin},
  title		= {Naive Parallelization of Coordinate Descent Methods and an
		  Application on Multi-core L1-regularized Classification},
  booktitle	= {Proceedings of the 27th ACM International Conference on
		  Conference on Information and Knowledge Management (CIKM)},
  year		= {2018},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/l1_multicore_cikm.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  ccc99a,
  author	= {Chih-Chung Chang and Chih-Wei Hsu and Chih-Jen Lin},
  title		= {The Analysis of Decomposition Methods for Support Vector
		  Machines},
  booktitle	= {Workshop on {S}upport {V}ector {M}achines, {IJCAI}99},
  year		= {1999}
}

@InProceedings{	  chang01d,
  author	= {Chih-Chung Chang and Chih-Jen Lin},
  title		= {{IJCNN} 2001 Challenge: Generalization Ability and Text
		  Decoding},
  booktitle	= {Proceedings of IJCNN},
  publisher	= {IEEE},
  year		= {2001}
}

@InProceedings{	  cyc20a,
  author	= {Chih-Yao Chang and Xing Tang and Bowen Yuan and Jui-Yang
		  Hsia and Zhirong Liu and Zhenhua Dong and Xiuqiang He and
		  Chih-Jen Lin},
  booktitle	= {Proceedings of the 21st IEEE International Conference on
		  Mobile Data Management (MDM)},
  title		= {Auto{C}onjunction: adaptive model-based feature
		  conjunction for {CTR} prediction},
  year		= {2020},
  volume	= {},
  number	= {},
  pages		= {202-209}
}

@InProceedings{	  mwc02a,
  author	= {Ming-Wei Chang and Chih-Jen Lin and Ruby C. Weng},
  title		= {Analysis of switching dynamics with competing support
		  vector machines },
  year		= {2002},
  booktitle	= {Proceedings of IJCNN},
  pages		= {2387--2392}
}

@InProceedings{	  mwc02c,
  author	= {Ming-Wei Chang and Chih-Jen Lin and Ruby C. Weng},
  title		= {Analysis of nonstationary time series using support vector
		  machines},
  year		= {2002},
  booktitle	= {Proceedings of SVM 2002},
  pages		= {160--170},
  editor	= {Seong-Whan Lee and Alessandro Verri},
  series	= {Lecture Notes in Computer Science 2388},
  publisher	= {Springer-Verlag Inc.},
  address	= {New York, NY, USA}
}

@InProceedings{	  mwc02e,
  author	= {Ming-Wei Chang and Chih-Jen Lin and Ruby C. Weng},
  title		= {Adaptive deterministic annealing for two applications:
		  competing {SVR} of switching dynamics and travelling
		  salesman problems},
  booktitle	= {Proceedings of ICONIP 2002},
  pages		= {920--924},
  year		= {2002}
}

@InProceedings{	  ywc08a,
  author	= {Yin-Wen Chang and Chih-Jen Lin},
  title		= {Feature Ranking Using Linear {SVM}},
  booktitle	= {JMLR Workshop and Conference Proceedings: Causation and
		  Prediction Challenge (WCCI 2008)},
  optcrossref	= {},
  optkey	= {},
  pages		= {53--64},
  year		= {2008},
  opteditor	= {},
  volume	= {3},
  optnumber	= {},
  optseries	= {},
  optaddress	= {},
  optmonth	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/causality.pdf}
}

@InProceedings{	  ktc25a,
  title		= {Revisiting one-versus-one and one-versus-rest: insights
		  into imbalanced multi-class classification},
  author	= {Kuan-Ting Chen and Chih-Jen Lin},
  booktitle	= {Proceedings of the IEEE International Conference on Data
		  Mining (ICDM)},
  pages		= {},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/ovo-ovr/OVO-OVR.pdf},
  year		= {2025}
}

@InProceedings{	  phc05b,
  author	= {Pai-Hsuen Chen and Rong-En Fan and Chih-Jen Lin},
  title		= {Training Support Vector Machines via SMO-type
		  Decomposition Methods},
  booktitle	= { Proceedings of the 16th International Conference on
		  Algorithmic Learning Theory (ALT 2005)},
  optcrossref	= {},
  optkey	= {},
  pages		= {45--62},
  year		= {2005},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optaddress	= {},
  optmonth	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  swc24a,
  author	= {Sheng-Wei Chen and Chih-Jen Lin},
  title		= {One-class matrix factorization: point-wise
		  regression-based or pair-wise ranking-based?},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the 18th ACM Recommender Systems
		  Conference},
  year		= {2024},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  swc24b,
  title		= "Random Label Forests: An Ensemble Method with Label
		  Subsampling For Extreme Multi-Label Problems",
  author	= "Chen, Sheng-Wei and Lin, Chih-Jen",
  booktitle	= "Findings of the Association for Computational Linguistics:
		  EMNLP",
  year		= "2024",
  pages		= "14107--14119",
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/random_label_forests/main.pdf}
}

@InProceedings{	  sac22a,
  author	= {Si-An Chen and Jie-Jyun Liu and Tsung-Han Yang and
		  Hsuan-Tien Lin and Chih-Jen Lin},
  title		= {Even the Simplest Baseline Needs Careful Re-investigation:
		  A Case Study on {XML-CNN}},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the Annual Conference of the North
		  {A}merican Chapter of the Association for Computational
		  Linguistics (NAACL)},
  year		= {2022},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/xmlcnn/xml_cnn_study.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  pages		= {1987--2000},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  sac25a,
  author	= {Si-An Chen and Hsuan-Tien Lin and Chih-Jen Lin},
  title		= {Preserving zero-shot capability in supervised fine-tuning
		  for multi-label text classification},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Findings of the Association for Computational Linguistics:
		  NAACL},
  year		= {2025},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/zero_shot_one_side_tuning/zero_shot_one_side_tuning.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  pages		= {5699--5712},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  wlc16a,
  author	= {Wei-Lin Chiang and Mu-Chu Lee and Chih-Jen Lin},
  title		= {Parallel dual coordinate descent method for large-scale
		  linear classification in multi-core environments},
  year		= {2016},
  booktitle	= {Proceedings of the 22nd ACM SIGKDD International
		  Conference on Knowledge Discovery and Data Mining (KDD)},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/multicore_cddual.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  wlc17a,
  author	= {Wei-Lin Chiang and Yu-Sheng Li and Ching-Pei Lee and
		  Chih-Jen Lin},
  title		= {Limited-memory Common-directions Method for Distributed
		  L1-regularized Linear Classification},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  year		= {2018},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/l-commdir-l1/OWL-commdir.pdf}
}

@InProceedings{	  wsc15b,
  author	= {Wei-Sheng Chin and Yong Zhuang and Yu-Chin Juan and
		  Chih-Jen Lin},
  title		= {A Learning-rate Schedule for Stochastic Gradient Methods
		  to Matrix Factorization},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the Pacific-Asia Conference on Knowledge
		  Discovery and Data Mining (PAKDD)},
  year		= {2015},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/libmf/mf_adaptive_pakdd.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  ccc18a,
  author	= {Chi-Cheng Chiu and Pin-Yen Lin and Chih-Jen Lin},
  title		= {Two-variable Block Dual Coordinate Descent Methods for
		  Large-scale Linear Support Vector Machines},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  year		= {2020},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/2var_cd/twocddual.pdf}
}

@InProceedings{	  hyc20a,
  author	= {Hung-Yi Chou and Pin-Yen Lin and Chih-Jen Lin},
  title		= {Dual Coordinate-Descent Methods for Linear One-Class {SVM}
		  and {SVDD}},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  year		= {2020},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/linear_oneclass_SVM/siam.pdf}
}

@InProceedings{	  byc15a,
  author	= {Bo-Yu Chu and Chia-Hua Ho and Cheng-Hao Tsai and Chieh-Yen
		  Lin and Chih-Jen Lin},
  title		= {Warm Start for Parameter Selection of Linear Classifiers},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the 21th ACM SIGKDD International
		  Conference on Knowledge Discovery and Data Mining (KDD)},
  year		= {2015},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/warm-start/warm-start.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  kc02c,
  author	= {Kai-Min Chung and Wei-Chun Kao and Tony Sun and Li-Lun
		  Wang and Chih-Jen Lin},
  title		= {Radius Margin Bounds for Support Vector Machines with the
		  {RBF} Kernel},
  year		= {2002},
  pages		= {893--897},
  booktitle	= {Proceedings of ICONIP 2002}
}

@InProceedings{	  kc03a,
  author	= {Kai-Min Chung and Wei-Chun Kao and Tony Sun and Chih-Jen
		  Lin},
  title		= {Decomposition Methods for Linear Support Vector Machines},
  year		= {2003},
  pages		= {868--871},
  booktitle	= {Proceedings of ICASSP 2003}
}

@InProceedings{	  rh13a,
  author	= {Raffay Hamid and Dennis Decoste and Chih-Jen Lin},
  title		= {Dense Non-rigid Point-Matching Using Random Projections},
  booktitle	= {The IEEE Conference on Computer Vision and Pattern
		  Recognition (CVPR)},
  year		= {2013}
}

@InProceedings{	  chh10a,
  author	= {Chia-Hua Ho and Ming-Hen Tsai and Chih-Jen Lin},
  title		= {Active Learning and Experimental Design with {SVM}s},
  booktitle	= {JMLR Workshop and Conference Proceedings: Workshop on
		  Active Learning and Experimental Design},
  year		= {2011},
  pages		= {71--84},
  volume	= {16},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/activelearning/activelearning.pdf}
}

@InProceedings{	  cyh17a,
  author	= {Chih-Yang Hsia and Ya Zhu and Chih-Jen Lin},
  title		= {A Study on Trust Region Update Rules in {N}ewton Methods
		  for Large-scale Linear Classification},
  booktitle	= {Proceedings of the {A}sian Conference on Machine Learning
		  ({ACML})},
  year		= {2017},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/newtron/newtron.pdf}
}

@InProceedings{	  cyh17b,
  author	= {Chih-Yang Hsia and Wei-Lin Chiang and Chih-Jen Lin},
  title		= {Preconditioned Conjugate Gradient Methods in Truncated
		  {N}ewton Frameworks for Large-scale Linear Classification},
  booktitle	= {Proceedings of the Asian Conference on Machine Learning
		  (ACML)},
  year		= {2018},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/tron_pcg/precondition.pdf}
}

@InProceedings{	  cjh08a,
  author	= {Cho-Jui Hsieh and Kai-Wei Chang and Chih-Jen Lin and S.
		  Sathiya Keerthi and Sellamanickam Sundararajan},
  title		= {A dual coordinate descent method for large-scale linear
		  {SVM}},
  booktitle	= {Proceedings of the Twenty Fifth International Conference
		  on Machine Learning (ICML)},
  year		= {2008},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/cddual.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optannote	= {}
}

@InProceedings{	  flh09a,
  author	= {Fang-Lan Huang and Cho-Jui Hsieh and Kai-Wei Chang and
		  Chih-Jen Lin},
  title		= {Iterative Scaling and Coordinate Descent Methods for
		  Maximum Entropy},
  booktitle	= {Proceedings of the 47th Annual Meeting of the Association
		  of Computational Linguistics (ACL)},
  year		= {2009},
  note		= {Short paper}
}

@InProceedings{	  hyh16a,
  author	= {Hsin-Yuan Huang and Chih-Jen Lin},
  title		= {Linear and Kernel Classification: When to Use Which?},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  year		= {2016},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/kernel-check/kcheck.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  tkh06a,
  author	= {Tzu-Kuo Huang and Chih-Jen Lin and Ruby C. Weng},
  title		= {Ranking individuals by group comparisons},
  booktitle	= {Proceedings of the Twenty Third International Conference
		  on Machine Learning (ICML)},
  year		= {2006}
}

@InCollection{	  tkh04b,
  author	= {Tzu-Kuo Huang and Ruby C. Weng and Chih-Jen Lin},
  title		= {A Generalized {B}radley-{T}erry Model: From Group
		  Competition to Individual Skill},
  booktitle	= "Advances in Neural Information Processing Systems 17",
  publisher	= "MIT Press",
  address	= "Cambridge, MA",
  year		= "2005"
}

@InProceedings{	  yj16a,
  author	= {Yuchin Juan and Yong Zhuang and Wei-Sheng Chin and
		  Chih-Jen Lin},
  title		= {Field-aware factorization machines for {CTR} Prediction},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the ACM Recommender Systems Conference
		  (RecSys)},
  year		= {2016},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/ffm.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  ssk08a,
  author	= {S. Sathiya Keerthi and Sellamanickam Sundararajan and
		  Kai-Wei Chang and Cho-Jui Hsieh and Chih-Jen Lin},
  title		= {A Sequential Dual Method for Large Scale Multi-Class
		  Linear {SVM}s},
  booktitle	= {Proceedings of the Forteenth ACM SIGKDD International
		  Conference on Knowledge Discovery and Data Mining},
  year		= {2008},
  pages		= {408--416},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/sdm_kdd.pdf}
}

@InProceedings{	  ak13a,
  author	= {Aditya Khosla and Raffay Hamid and Chih-Jen Lin and Neel
		  Sundaresan},
  title		= {Large-Scale Video Summarization Using Web-Image Priors},
  booktitle	= {Proceedings of the IEEE Conference on Computer Vision and
		  Pattern Recognition (CVPR)},
  year		= {2013}
}

@InProceedings{	  tmk14a,
  author	= {Tzu-Ming Kuo and Ching-Pei Lee and Chih-Jen Lin},
  title		= {Large-scale Kernel Rank{SVM}},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  optpages	= {},
  year		= {2014},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optaddress	= {},
  optmonth	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/ranksvm/kernel.pdf},
  optannote	= {}
}

@InProceedings{	  cpl17a,
  author	= {Ching-Pei Lee and Po-Wei Wang and Weizhu Chen and Chih-Jen
		  Lin},
  title		= {Limited-memory Common-directions Method for Distributed
		  Optimization and its Application on Empirical Risk
		  Minimization},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  year		= {2017},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/l-commdir/l-commdir.pdf}
}

@InProceedings{	  mcl15a,
  author	= {Mu-Chu Lee and Wei-Lin Chiang and Chih-Jen Lin},
  title		= {Fast Matrix-vector Multiplications for Large-scale
		  Logistic Regression on Shared-memory Systems},
  year		= {2015},
  booktitle	= {Proceedings of the IEEE International Conference on Data
		  Mining (ICDM)},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/multicore_liblinear_icdm.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  liao01a,
  author	= {Shuo-Peng Liao and Hsuan-Tien Lin and Chih-Jen Lin},
  title		= {A note on the decomposition methods for support vector
		  regression},
  booktitle	= {Proceedings of IJCNN},
  year		= {2001}
}

@InProceedings{	  cyl14a,
  author	= {Chieh-Yen Lin and Cheng-Hao Tsai and Ching-Pei Lee and
		  Chih-Jen Lin},
  title		= {Large-scale logistic regression and linear support vector
		  machines using {S}park},
  booktitle	= {Proceedings of the IEEE International Conference on Big
		  Data},
  year		= {2014},
  pages		= {519--528},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/spark-liblinear/spark-liblinear.pdf}
}

@InProceedings{	  cjl97c,
  author	= {Chih-Jen Lin},
  title		= {Preconditioning dense linear systems from large-scale
		  semidefinite programming problems},
  booktitle	= {Proceedings of the Fifth Copper Mountain conference on
		  iterative methods},
  year		= {1998}
}

@InProceedings{	  lin99c,
  author	= {Chih-Jen Lin and Nestor Michelena and Romesh Saigal},
  title		= {Topological fixture synthesis using semidefinite
		  programming},
  booktitle	= {Proceedings of the Third World Congress of Structural and
		  Multidisciplinary Optimization (WCSMO-3)},
  year		= 1999,
  month		= {May 17-21}
}

@InProceedings{	  cjl07a,
  author	= {Chih-Jen Lin and Ruby C. Weng and S. Sathiya Keerthi},
  title		= {Trust region {N}ewton method for large-scale logistic
		  regression},
  booktitle	= {Proceedings of the 24th International Conference on
		  Machine Learning (ICML)},
  year		= {2007},
  note		= {Software available at
		  \url{http://www.csie.ntu.edu.tw/~cjlin/liblinear}}
}

@InProceedings{	  hzl24b,
  title		= "Exploring Space Efficiency in a Tree-based Linear Model
		  for Extreme Multi-label Classification",
  author	= "Lin, He-Zhe and Liu, Cheng-Hung and Lin, Chih-Jen",
  booktitle	= "Proceedings of the Conference on Empirical Methods in
		  Natural Language Processing (EMNLP)",
  year		= "2024",
  pages		= {16245--16260},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/multilabel_tree_model_size/multilabel_tree_model_size.pdf}
}

@InProceedings{	  hzl24c,
  author	= {He-Zhe Lin and Zhi-Bao Lu and Sheng-Wei Chen and
		  Cheng-Hung Liu and Chih-Jen Lin},
  title		= {On the Weight Density of L2-Regularized Linear
		  Classification and Regression},
  booktitle	= {Proceedings of the Twenty-Ninth Annual Conference on
		  Artificial Intelligence and Statistics (AISTATS)},
  year		= {2026},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/dual-space/dual-space.pdf}
}

@InProceedings{	  lcl22a,
  author	= {Li-Chung Lin and Cheng-Hung Liu and Chih-Ming Chen and
		  Kai-Chin Hsu and I-Feng Wu and Ming-Feng Tsai and Chih-Jen
		  Lin},
  title		= {On the use of unrealistic predictions in hundreds of
		  papers evaluating graph representations},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the Thirty-Sixth AAAI Conference on
		  Artificial Intelligence (AAAI)},
  year		= {2022},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/multilabel-embedding/multilabel_embedding.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  pages		= {7479--7487},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  lcl25a,
  author	= {Li-Chung Lin and Yaxu Liu and Chih-Jen Lin},
  title		= {Sampled Estimators for Softmax Must Be Biased},
  booktitle	= {Advances in Neural Information Processing Systems
		  (NeurIPS)},
  volume	= {38},
  year		= {2025},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/softmax_biased/softmax_bias.pdf}
}

@InProceedings{	  ycl22a,
  author	= {Yu-Chen Lin and Si-An Chen and Jie-Jyun Liu and Chih-Jen
		  Lin},
  title		= {Linear Classifier: An Often-Forgotten Baseline for Text
		  Classification},
  booktitle	= {Proceedings of the 61st Annual Meeting of the Association
		  for Computational Linguistics (ACL)},
  year		= {2023},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/text_classification_baseline/text_classification_baseline.pdf},
  note		= {Short paper},
  pages		= {1876--1888}
}

@InProceedings{	  yjl23b,
  title		= {On the thresholding strategy for infrequent labels in
		  multi-label classification},
  author	= {Yu-Jen Lin and Chih-Jen Lin},
  booktitle	= {Proceedings of the 32nd ACM International Conference on
		  Information and Knowledge Management (CIKM)},
  year		= {2023},
  doi		= {10.1145/3583780.3614996},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/thresholding/smooth_acm.pdf},
  pages		= {1441--1450}
}

@InProceedings{	  jjl21a,
  author	= {Jie-Jyun Liu and Tsung-Han Yang and Si-An Chen and
		  Chih-Jen Lin},
  title		= {Parameter Selection: Why We Should Pay More Attention to
		  It},
  booktitle	= {Proceedings of the 59th Annual Meeting of the Association
		  of Computational Linguistics (ACL)},
  year		= {2021},
  pages		= {825--830},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/parameter_selection/acl2021_parameter_selection.pdf},
  note		= {Short paper}
}

@InProceedings{	  yl22a,
  author	= {Yaxu Liu and Jui-Nan Yen and Bowen Yuan and Rundong Shi
		  and Peng Yan and Chih-Jen Lin},
  title		= {Practical Counterfactual Policy Learning for Top-$K$
		  Recommendations},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the 28th ACM SIGKDD Conference on Knowledge
		  Discovery and Data Mining (KDD)},
  year		= {2022},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/counterfactual_topk/xcf.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  yl24a,
  author	= {Yaxu Liu and Li-Chung Lin and Chih-Jen Lin},
  title		= {Examining the Bias of In-Batch Sampling in Similarity
		  Learning with Two-Tower Models},
  booktitle	= {Proceedings of the Twenty-Ninth Annual Conference on
		  Artificial Intelligence and Statistics (AISTATS)},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/inbatch_bias/inbatch_bias.pdf},
  year		= {2026}
}

@InProceedings{	  knpd25a,
  author	= {Nguyen Pham Dang, Khoi and Lin, He-Zhe and Lin, Chih-Jen},
  title		= {SparseKmeans: Efficient K-means Clustering For Sparse
		  Data},
  booktitle	= {Proceedings of the 34th ACM International Conference on
		  Information and Knowledge Management (CIKM)},
  pages		= {},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/sparse_kmeans/sparsekmeans-cikm.pdf},
  year		= {2025}
}

@InProceedings{	  ys08a,
  author	= "Yangqiu Song and Wen-Yen Chen and Hongjie Bai and Chih-Jen
		  Lin and Edward Y. Chang",
  title		= "Parallel Spectral Clustering",
  booktitle	= "European Conference on Machine Learning and Principles and
		  Practice of Knowledge Discovery in Databases (ECML/PKDD)",
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/ecml08.pdf},
  year		= "2008"
}

@InProceedings{	  cht14a,
  author	= {Cheng-Hao Tsai and Chieh-Yen Lin and Chih-Jen Lin},
  title		= {Incremental and decremental training for linear
		  classification},
  booktitle	= {Proceedings of the 20th ACM SIGKDD International
		  Conference on Knowledge Discovery and Data Mining},
  year		= {2014},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/ws/inc-dec.pdf}
}

@InProceedings{	  xw26a,
  author	= {Xiyuan Wei and Chih-Jen Lin and Tianbao Yang},
  title		= {{NeuCLIP}: Efficient Large-Scale {CLIP} Training with
		  Neural Normalizer Optimization},
  booktitle	= {Proceedings of the Fourteenth International Conference on
		  Learning Representations (ICLR)},
  optcrossref	= {},
  optkey	= {},
  year		= {2026},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/neuclip/iclr2026_conference.pdf},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InCollection{	  tfw03a,
  author	= "Ting-Fan Wu and Chih-Jen Lin and Ruby C. Weng",
  title		= "Probability Estimates for Multi-Class Classification by
		  Pairwise Coupling",
  booktitle	= "Advances in Neural Information Processing Systems 16",
  editor	= "Sebastian Thrun and Lawrence Saul and Bernhard
		  {Sch\"{o}lkopf}",
  publisher	= "MIT Press",
  address	= "Cambridge, MA",
  year		= "2004",
  keywords	= "Markov chains, multi-class learning, multi-class
		  prediction, optimization, support vector machines, voting
		  methods"
}

@InProceedings{	  jny21a,
  author	= {Jui-Nan Yen and Chih-Jen Lin},
  title		= {Limited-memory Common-directions Method With Subsampled
		  Newton Directions for Large-scale Linear Classification},
  booktitle	= {Proceedings of the IEEE International Conference on Data
		  Mining (ICDM)},
  url		= {https://www.csie.ntu.edu.tw/~cjlin/papers/commdir_subsampled/main.pdf},
  year		= {2021}
}

@InProceedings{	  hfy10b,
  author	= {Hsiang-Fu Yu and Cho-Jui Hsieh and Kai-Wei Chang and
		  Chih-Jen Lin},
  title		= {Large linear classification when data cannot fit in
		  memory},
  booktitle	= {Proceedings of the Sixteenth ACM SIGKDD International
		  Conference on Knowledge Discovery and Data Mining},
  year		= {2010},
  pages		= {833--842},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/kdd_disk_decomposition.pdf}
}

@InProceedings{	  hfy16a,
  author	= {Hsiang-Fu Yu and Mikhail Bilenko and Chih-Jen Lin},
  title		= {Selection of Negative Samples for One-class Matrix
		  Factorization},
  booktitle	= {Proceedings of SIAM International Conference on Data
		  Mining (SDM)},
  year		= {2017},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/one-class-mf/biased-mf-sdm-with-supp.pdf}
}

@InProceedings{	  hfy17a,
  author	= {Hsiang-Fu Yu and Hsin-Yuan Huang and Inderjit S. Dihillon
		  and Chih-Jen Lin},
  title		= {A Unified Algorithm for One-class Structured Matrix
		  Factorization with Side Information},
  booktitle	= {Proceedings of the Thirty-First AAAI Conference on
		  Artificial Intelligence (AAAI)},
  year		= {2017},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/ocmf-side/biased-leml-aaai-with-supp.pdf}
}

@Article{	  mcy14a,
  author	= {Meng-Chieh Yu and Tong Yu and Shao-Chen Wang and Chih-Jen
		  Lin and Edward Y. Chang},
  title		= {Big Data Small Footprint: The Design of A Low-Power
		  Classifier for Detecting Transportation Modes},
  journal	= {Proceedings of the VLDB Endowment},
  volume	= {7},
  year		= {2014},
  pages		= {1429--1440}
}

@InProceedings{	  by19b,
  author	= {Bowen Yuan and Jui-Yang Hsia and Meng-Yuan Yang and Hong
		  Zhu and Chihyao Chang and Zhenhua Dong and Chih-Jen Lin},
  title		= {Improving {A}d Click Prediction by Considering
		  Non-displayed Events},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/occtr/ctr_oc.pdf},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the 28th ACM International Conference on
		  Conference on Information and Knowledge Management (CIKM)},
  year		= {2019},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  by20a,
  author	= {Bowen Yuan and Yaxu Liu and Jui-Yang Hsia and Zhenhua Dong
		  and Chih-Jen Lin},
  title		= {Unbiased Ad click prediction for position-aware
		  advertising systems},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/debiases/debiases.pdf},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the 14th ACM Conference on Recommender
		  Systems},
  year		= {2020},
  opteditor	= {},
  optvolume	= {},
  optnumber	= {},
  optseries	= {},
  optpages	= {},
  optmonth	= {},
  optaddress	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  by21a,
  author	= {Bowen Yuan and Yu-Sheng Li and Pengrui Quan and Chih-Jen
		  Lin},
  title		= {Efficient optimization methods for extreme similarity
		  learning with nonlinear embeddings},
  booktitle	= {Proceedings of the ACM SIGKDD International Conference on
		  Knowledge Discovery and Data Mining (KDD)},
  year		= {2021},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/similarity_learning/pq.pdf}
}

@InProceedings{	  gxy11b,
  author	= {Guo-Xun Yuan and Chia-Hua Ho and Chih-Jen Lin},
  title		= {An Improved {GLMNET} for L1-regularized Logistic
		  Regression},
  booktitle	= {Proceedings of the Seventeenth ACM SIGKDD International
		  Conference on Knowledge Discovery and Data Mining},
  year		= {2011},
  pages		= {33--41}
}

@InProceedings{	  yz13a,
  author	= {Yong Zhuang and Wei-Sheng Chin and Yu-Chin Juan and
		  Chih-Jen Lin},
  title		= {A fast parallel {SGD} for matrix factorization in shared
		  memory systems},
  optcrossref	= {},
  optkey	= {},
  booktitle	= {Proceedings of the ACM Recommender Systems},
  optpages	= {},
  year		= {2013},
  opteditor	= {},
  optvolume	= {},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/libmf.pdf},
  optnumber	= {},
  optseries	= {},
  optaddress	= {},
  optmonth	= {},
  optorganization={},
  optpublisher	= {},
  optnote	= {},
  optannote	= {}
}

@InProceedings{	  yz14a,
  author	= {Yong Zhuang and Wei-Sheng Chin and Yu-Chin Juan and
		  Chih-Jen Lin},
  title		= {Distributed {N}ewton method for regularized logistic
		  regression},
  booktitle	= {Proceedings of the Pacific-Asia Conference on Knowledge
		  Discovery and Data Mining (PAKDD)},
  year		= {2015}
}

@InProceedings{	  yz17a,
  author	= {Yong Zhuang and Yuchin Juan and Guo-Xun Yuan and Chih-Jen
		  Lin},
  title		= {Naive Parallelization of Coordinate Descent Methods and an
		  Application on Multi-core L1-regularized Classification},
  booktitle	= {Proceedings of the 27th ACM International Conference on
		  Conference on Information and Knowledge Management (CIKM)},
  year		= {2018},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/l1_multicore_cikm.pdf},
  optkey	= {},
  opttype	= {},
  optnumber	= {},
  optaddress	= {},
  optmonth	= {},
  optnote	= {},
  optannote	= {}
}

@InCollection{	  lb07b,
  author	= {Bottou, L\'{e}on and Lin, Chih-Jen},
  title		= {Support Vector Machine Solvers},
  pages		= {1--28},
  editor	= {Bottou, L\'{e}on and Chapelle, Olivier and {DeCoste},
		  Dennis and Weston, Jason},
  booktitle	= {Large Scale Kernel Machines},
  publisher	= {MIT Press},
  address	= {Cambridge, MA.},
  year		= {2007},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/bottou_lin.pdf}
}

@InCollection{	  yw04a,
  author	= {Yi-Wei Chen and Chih-Jen Lin},
  title		= {Combining {SVM}s with various feature selection
		  strategies},
  booktitle	= {Feature extraction, foundations and applications},
  editor	= {Isabelle Guyon and Steve Gunn and Masoud Nikravesh and
		  Lofti Zadeh},
  publisher	= {Springer},
  year		= "2006"
}

@InProceedings{	  cjl94,
  author	= {Chih-Jen Lin and Shu-Cherng Fang and Soon-Yi Wu},
  title		= {A dual affine scaling based algorithm for solving linear
		  semi-infinite programming problems},
  booktitle	= {{Advances in Optimization and Application}},
  publisher	= {Kluwer Academic Publishers},
  year		= {1994},
  editor	= {D. Z. Du and J. Sun},
  pages		= {217--234}
}

@InProceedings{	  syw01b,
  author	= {Soon-Yi Wu and Shu-Cherng Fang and Chih-Jen Lin},
  title		= {Analytic center based cutting plane method for linear
		  semi-infinite programming},
  year		= {2001},
  editor	= {M. Goberna and M. Lopez},
  publisher	= {Kluwer},
  booktitle	= {Semi-infinite programming: recent advances}
}

@InCollection{	  lb07b,
  author	= {Bottou, L\'{e}on and Lin, Chih-Jen},
  title		= {Support Vector Machine Solvers},
  pages		= {1--28},
  editor	= {Bottou, L\'{e}on and Chapelle, Olivier and {DeCoste},
		  Dennis and Weston, Jason},
  booktitle	= {Large Scale Kernel Machines},
  publisher	= {MIT Press},
  address	= {Cambridge, MA.},
  year		= {2007},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/bottou_lin.pdf}
}

@InCollection{	  yw04a,
  author	= {Yi-Wei Chen and Chih-Jen Lin},
  title		= {Combining {SVM}s with various feature selection
		  strategies},
  booktitle	= {Feature extraction, foundations and applications},
  editor	= {Isabelle Guyon and Steve Gunn and Masoud Nikravesh and
		  Lofti Zadeh},
  publisher	= {Springer},
  year		= "2006"
}

@InProceedings{	  cjl94,
  author	= {Chih-Jen Lin and Shu-Cherng Fang and Soon-Yi Wu},
  title		= {A dual affine scaling based algorithm for solving linear
		  semi-infinite programming problems},
  booktitle	= {{Advances in Optimization and Application}},
  publisher	= {Kluwer Academic Publishers},
  year		= {1994},
  editor	= {D. Z. Du and J. Sun},
  pages		= {217--234}
}

@InProceedings{	  syw01b,
  author	= {Soon-Yi Wu and Shu-Cherng Fang and Chih-Jen Lin},
  title		= {Analytic center based cutting plane method for linear
		  semi-infinite programming},
  year		= {2001},
  editor	= {M. Goberna and M. Lopez},
  publisher	= {Kluwer},
  booktitle	= {Semi-infinite programming: recent advances}
}

@TechReport{	  wcc13a,
  author	= "Wei-Cheng Chang and Ching-Pei Lee and Chih-Jen Lin",
  title		= "A Revisit to Support Vector Data Description",
  year		= "2013",
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/svdd.pdf}
}

@TechReport{	  cwh03a,
  author	= {Chih-Wei Hsu and Chih-Chung Chang and Chih-Jen Lin},
  title		= {A practical guide to support vector classification},
  institution	= {Department of Computer Science, National Taiwan
		  University},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf},
  year		= {2003}
}

@TechReport{	  jhlee00a,
  author	= {Jen-Hao Lee and Chih-Jen Lin},
  title		= {Automatic model selection for support vector machines},
  institution	= {Department of Computer Science and Information
		  Engineering, National Taiwan University},
  year		= {2000}
}

@TechReport{	  cjl95a,
  author	= {Chih-Jen Lin and Romesh Saigal},
  address	= {Ann Arbor, MI 48109-2117},
  institution	= {Department of Industrial and Operations Engineering,
		  University of Michigan},
  title		= {A predictor corrector method for semi-definite linear
		  programming},
  year		= {1995}
}

@TechReport{	  cjl95b,
  author	= {Chih-Jen Lin and Romesh Saigal},
  address	= {Ann Arbor, MI 48109-2117},
  institution	= {Department of Industrial and Operations Engineering,
		  University of Michigan},
  title		= {An infeasible start predictor corrector method for
		  semi--definite linear programming},
  year		= {1995}
}

@PhDThesis{	  cjl98a,
  author	= {Chih-Jen Lin},
  title		= {Study in Large-Scale optimization},
  school	= {University of Michigan},
  year		= {1998},
  address	= {Ann Arbor, Michigan}
}

@TechReport{	  htl03a,
  author	= {Hsuan-Tien Lin and Chih-Jen Lin},
  title		= {A Study on Sigmoid Kernels for {SVM} and the Training of
		  non-{PSD} Kernels by {SMO}-type Methods},
  institution	= {Department of Computer Science, National Taiwan
		  University},
  year		= {2003},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/tanh.pdf}
}

@TechReport{	  wcc13a,
  author	= "Wei-Cheng Chang and Ching-Pei Lee and Chih-Jen Lin",
  title		= "A Revisit to Support Vector Data Description",
  year		= "2013",
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/svdd.pdf}
}

@TechReport{	  cwh03a,
  author	= {Chih-Wei Hsu and Chih-Chung Chang and Chih-Jen Lin},
  title		= {A practical guide to support vector classification},
  institution	= {Department of Computer Science, National Taiwan
		  University},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf},
  year		= {2003}
}

@TechReport{	  jhlee00a,
  author	= {Jen-Hao Lee and Chih-Jen Lin},
  title		= {Automatic model selection for support vector machines},
  institution	= {Department of Computer Science and Information
		  Engineering, National Taiwan University},
  year		= {2000}
}

@TechReport{	  cjl95a,
  author	= {Chih-Jen Lin and Romesh Saigal},
  address	= {Ann Arbor, MI 48109-2117},
  institution	= {Department of Industrial and Operations Engineering,
		  University of Michigan},
  title		= {A predictor corrector method for semi-definite linear
		  programming},
  year		= {1995}
}

@TechReport{	  cjl95b,
  author	= {Chih-Jen Lin and Romesh Saigal},
  address	= {Ann Arbor, MI 48109-2117},
  institution	= {Department of Industrial and Operations Engineering,
		  University of Michigan},
  title		= {An infeasible start predictor corrector method for
		  semi--definite linear programming},
  year		= {1995}
}

@PhDThesis{	  cjl98a,
  author	= {Chih-Jen Lin},
  title		= {Study in Large-Scale optimization},
  school	= {University of Michigan},
  year		= {1998},
  address	= {Ann Arbor, Michigan}
}

@TechReport{	  htl03a,
  author	= {Hsuan-Tien Lin and Chih-Jen Lin},
  title		= {A Study on Sigmoid Kernels for {SVM} and the Training of
		  non-{PSD} Kernels by {SMO}-type Methods},
  institution	= {Department of Computer Science, National Taiwan
		  University},
  year		= {2003},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/tanh.pdf}
}

@TechReport{	  cwh03a,
  author	= {Chih-Wei Hsu and Chih-Chung Chang and Chih-Jen Lin},
  title		= {A practical guide to support vector classification},
  institution	= {Department of Computer Science, National Taiwan
		  University},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf},
  year		= {2003}
}

@TechReport{	  jhlee00a,
  author	= {Jen-Hao Lee and Chih-Jen Lin},
  title		= {Automatic model selection for support vector machines},
  institution	= {Department of Computer Science and Information
		  Engineering, National Taiwan University},
  year		= {2000}
}

@TechReport{	  cjl95a,
  author	= {Chih-Jen Lin and Romesh Saigal},
  address	= {Ann Arbor, MI 48109-2117},
  institution	= {Department of Industrial and Operations Engineering,
		  University of Michigan},
  title		= {A predictor corrector method for semi-definite linear
		  programming},
  year		= {1995}
}

@TechReport{	  cjl95b,
  author	= {Chih-Jen Lin and Romesh Saigal},
  address	= {Ann Arbor, MI 48109-2117},
  institution	= {Department of Industrial and Operations Engineering,
		  University of Michigan},
  title		= {An infeasible start predictor corrector method for
		  semi--definite linear programming},
  year		= {1995}
}

@PhDThesis{	  cjl98a,
  author	= {Chih-Jen Lin},
  title		= {Study in Large-Scale optimization},
  school	= {University of Michigan},
  year		= {1998},
  address	= {Ann Arbor, Michigan}
}

@TechReport{	  cwh03a,
  author	= {Chih-Wei Hsu and Chih-Chung Chang and Chih-Jen Lin},
  title		= {A practical guide to support vector classification},
  institution	= {Department of Computer Science, National Taiwan
		  University},
  url		= {http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf},
  year		= {2003}
}

@TechReport{	  jhlee00a,
  author	= {Jen-Hao Lee and Chih-Jen Lin},
  title		= {Automatic model selection for support vector machines},
  institution	= {Department of Computer Science and Information
		  Engineering, National Taiwan University},
  year		= {2000}
}

@TechReport{	  cjl95a,
  author	= {Chih-Jen Lin and Romesh Saigal},
  address	= {Ann Arbor, MI 48109-2117},
  institution	= {Department of Industrial and Operations Engineering,
		  University of Michigan},
  title		= {A predictor corrector method for semi-definite linear
		  programming},
  year		= {1995}
}

@TechReport{	  cjl95b,
  author	= {Chih-Jen Lin and Romesh Saigal},
  address	= {Ann Arbor, MI 48109-2117},
  institution	= {Department of Industrial and Operations Engineering,
		  University of Michigan},
  title		= {An infeasible start predictor corrector method for
		  semi--definite linear programming},
  year		= {1995}
}

@PhDThesis{	  cjl98a,
  author	= {Chih-Jen Lin},
  title		= {Study in Large-Scale optimization},
  school	= {University of Michigan},
  year		= {1998},
  address	= {Ann Arbor, Michigan}
}