htlin.bib

@inproceedings{SC2021b,
  author = {Si-An Chen and Chun-Liang Li and Hsuan-Tien Lin},
  title = {Improving Model Compatibility of Generative
                  Adversarial Networks by Boundary Calibration},
  booktitle = {Proceedings of the Workshop on Deep Generative
                  Models and Downstream Applications @ NeurIPS},
  month = dec,
  year = 2021,
  arxiv = {https://arxiv.org/abs/2111.02316},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsdgm21bcgan.pdf},
  keyword = {deep, generative}
}
@inproceedings{SC2021a,
  author = {Si-An Chen and Chun-Liang Li and Hsuan-Tien Lin},
  title = {A Unified View of {cGANs} with and without
                  Classifiers},
  booktitle = {Advances in Neural Information Processing Systems:
                  Proceedings of the 2021 Conference (NeurIPS)},
  year = 2021,
  month = dec,
  arxiv = {https://arxiv.org/abs/2111.01035},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/neurips21ecgan.pdf},
  appendix = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/neurips21ecgan_appendix.pdf},
  software = {https://github.com/sian-chen/PyTorch-ECGAN},
  keyword = {deep, vision, generative}
}
@inproceedings{A2021,
  author = {Ashesh and Chu-Song Chen and Hsuan-Tien Lin},
  title = {360-Degree Gaze Estimation in the Wild Using
                  Multiple Zoom Scales},
  booktitle = {Proceedings of the British Machine Vision Conference
                  (BMVC)},
  year = 2021,
  month = nov,
  arxiv = {https://arxiv.org/abs/2009.06924},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/bmvc21gaze.pdf},
  software = {https://github.com/ashesh-0/MultiZoomGaze},
  keyword = {deep, kdd, vision}
}
@inproceedings{CB2021,
  author = {Ching-Yuan Bai and Hsuan-Tien Lin and Colin Raffel and
                  Wendy {Chih-wen} Kan},
  title = {On Training Sample Memorization: Lessons from
                  Benchmarking Generative Modeling with a Large-scale
                  Competition},
  booktitle = {Proceedings of the 27th ACM SIGKDD International
                  Conference on Knowledge Discovery and Data Mining
                  (KDD)},
  year = 2021,
  month = aug,
  arxiv = {http://arxiv.org/abs/2106.03062},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/kdd21kagglegan.pdf},
  keyword = {deep, kdd, vision, generative}
}
@inproceedings{YC2021,
  author = {Yu-Ying Chou and Hsuan-Tien Lin and Tyng-Luh Liu},
  title = {Adaptive and Generative Zero-Shot Learning},
  booktitle = {Proceedings of the International Conference on
                  Learning Representations (ICLR)},
  month = may,
  year = 2021,
  official = {https://openreview.net/forum?id=ahAUv8TI2Mz},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/iclr21agzsl.pdf},
  keyword = {deep, weakly, vision, generative}
}
@inproceedings{CT2020,
  author = {Chun-Yi Tu and Hsuan-Tien Lin},
  title = {Cost Learning Network for Imbalanced Classification},
  booktitle = {Proceedings of the Conference on Technologies and
                  Applications for Artificial Intelligence (TAAI)},
  year = 2020,
  month = nov,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai20cln.pdf},
  keyword = {cost-sensitive, deep, reinforcement}
}
@inproceedings{YChung2020,
  author = {Yu-An Chung and Shao-Wen Yang and Hsuan-Tien Lin},
  title = {Cost-Sensitive Deep Learning with Layer-Wise Cost
                  Estimation},
  booktitle = {Proceedings of the Conference on Technologies and
                  Applications for Artificial Intelligence (TAAI)},
  year = 2020,
  month = nov,
  arxiv = {http://arxiv.org/abs/1611.05134},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai20csdl.pdf},
  keyword = {cost-sensitive, deep},
  note = {Winner of the best paper award}
}
@inproceedings{MY2020,
  author = {Michelle Yuan and Hsuan-Tien Lin and Jordan
                  Boyd-Graber},
  title = {Cold-start Active Learning through Self-supervised
                  Language Modeling},
  booktitle = {Proceedings of the Conference on Empirical Methods
                  in Natural Language Processing (EMNLP)},
  month = nov,
  year = 2020,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/emnlp20alps.pdf},
  keyword = {deep, active}
}
@inproceedings{KT2020,
  author = {Kuen-Han Tsai and Hsuan-Tien Lin},
  title = {Learning from Label Proportions with Consistency
                  Regularization},
  booktitle = {Proceedings of the Asian Conference on Machine
                  Learning (ACML)},
  month = nov,
  year = 2020,
  arxiv = {https://arxiv.org/pdf/1910.13188.pdf},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml20llpvat.pdf},
  keyword = {deep, weakly}
}
@inproceedings{CL2020,
  author = {Chi-Chang Lee and Yu-Chen Lin and Hsuan-Tien Lin and
                  Hsin-Min Wang and Yu Tsao},
  title = {{SERIL}: Noise Adaptive Speech Enhancement using
                  Regularization-based Incremental Learning},
  booktitle = {Proceedings of the Conference of the International
                  Speech Communication Association (INTERSPEECH)},
  month = oct,
  year = 2020,
  arxiv = {https://arxiv.org/abs/2005.11760},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/interspeech20SERIL.pdf},
  keyword = {deep, weakly, kdd}
}
@inproceedings{CB2020,
  author = {Ching-Yuan Bai and Buo-Fu Chen and Hsuan-Tien Lin},
  title = {Benchmarking Tropical Cyclone Rapid Intensification
                  with Satellite Images and Attention-based Deep
                  Models},
  booktitle = {Proceedings of the European Conference on
                  Machine Learning and Principles and Practice of
                  Knowledge Discovery in Databases (ECML/PKDD)},
  month = sep,
  year = 2020,
  data = {http://www.csie.ntu.edu.tw/~htlin/program/TCRISI},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ecml20tcrisi.pdf},
  preliminary = {A preliminary version appeared in the Workshop on
                  Machine Learning for Earth Observation @ ECML/PKDD
                  '19.},
  keyword = {deep, kdd}
}
@inproceedings{IC2020,
  author = {I-Ting Chen and Hsuan-Tien Lin},
  title = {Improving Unsupervised Domain Adaptation with
                  Representative Selection Techniques},
  booktitle = {Proceedings of the Workshop on Interactive Adaptive
                  Learning @ ECML/PKDD},
  pages = {5--21},
  month = sep,
  year = 2020,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsial20sel.pdf},
  keyword = {deep, weakly}
}
@article{SC2020,
  author = {Si-An Chen and Voot Tangkaratt and Hsuan-Tien Lin and
                  Masashi Sugiyama},
  title = {Active Deep {Q-learning} with Demonstration},
  journal = {Machine Learning},
  volume = 109,
  number = {9--10},
  pages = {1699--1725},
  year = 2020,
  month = sep,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/adqn.pdf},
  arxiv = {http://arxiv.org/abs/1812.02632},
  official = {https://rdcu.be/b7SFF},
  preliminary = {Also presented in the journal track of ECML '20},
  keyword = {active, deep, reinforcement}
}
@inproceedings{YChou2020,
  author = {Yu-Ting Chou and Gang Niu and Hsuan-Tien Lin and
                  Masashi Sugiyama},
  title = {Unbiased Risk Estimators Can Mislead: A Case Study
                  of Learning with Complementary Labels},
  booktitle = {Proceedings of the International Conference on
                  Machine Learning (ICML)},
  month = jul,
  year = 2020,
  arxiv = {http://arxiv.org/abs/2007.02235},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icml20SCL.pdf},
  keyword = {deep, weakly}
}
@article{TP2019,
  author = {Tsung-Yi Pan and Hsuan-Tien Lin and Hao-Yu Liao},
  title = {A Data-Driven Probabilistic Rainfall-Inundation
                  Model for Flash-Flood Warnings},
  journal = {Water},
  volume = 11,
  number = {12},
  pages = {2534},
  year = 2019,
  month = nov,
  official = {https://www.mdpi.com/2073-4441/11/12/2534/pdf},
  keyword = {kdd}
}
@inproceedings{YY2019,
  author = {Yao-Yuan Yang and Yi-An Lin and Hong-Min Chu and Hsuan-Tien Lin},
  title = {Deep Learning with a Rethinking Structure for
                  Multi-label Classification},
  booktitle = {Proceedings of the Asian Conference on Machine
                  Learning (ACML)},
  year = 2019,
  month = nov,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml19rethink.pdf},
  keyword = {cost-sensitive, multi-label, deep}
}
@inproceedings{CB2019,
  author = {Ching-Yuan Bai and Buo-Fu Chen and Hsuan-Tien Lin},
  title = {Attention-based Deep Tropical Cyclone Rapid
                  Intensification Prediction},
  booktitle = {Proceedings of the Workshop on Machine Learning for
                  Earth Observation @ ECML/PKDD},
  year = 2019,
  month = sep,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsmaclean19tcri.pdf},
  arxiv = {http://arxiv.org/abs/1909.11616},
  keyword = {deep, kdd}
}
@article{HC2019,
  author = {Hong-Min Chu and Kuan-Hao Huang and Hsuan-Tien Lin},
  title = {Dynamic Principal Projection for Cost-Sensitive
                  Online Multi-Label Classification},
  journal = {Machine Learning},
  volume = 108,
  number = {8--9},
  pages = {1193--1230},
  year = 2019,
  month = sep,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/csdpp.pdf},
  arxiv = {http://arxiv.org/abs/1711.05060},
  official = {https://rdcu.be/bg7UI},
  preliminary = {Also presented in the journal track of
                  ECML '19},
  keyword = {multi-label, online}
}
@inproceedings{CH2019,
  author = {Cheng-Yu Hsieh and Miao Xu and Gang Niu and Hsuan-Tien Lin and Masashi Sugiyama},
  title = {A Pseudo-Label Method for Coarse-to-Fine Multi-Label
                  Learning with Limited Supervision},
  booktitle = {Proceedings of the Workshop on Learning from Limited
                  Labeled Data @ ICLR},
  year = 2019,
  month = may,
  keyword = {multi-label, weakly},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wslld19c2fml.pdf},
  official = {https://openreview.net/forum?id=rylVYjqHdN}
}
@article{YT2019,
  author = {Yu-Lin Tsou and Hsuan-Tien Lin},
  title = {Annotation Cost-sensitive Active Learning by Tree
                  Sampling},
  journal = {Machine Learning},
  volume = 108,
  number = 5,
  pages = {785--807},
  year = 2019,
  month = may,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/csts.pdf},
  preliminary = {Also presented in the journal track of ACML '18},
  official = {https://rdcu.be/bul9F},
  keyword = {active, cost-sensitive}
}
@article{BC2019,
  author = {BuoFu Chen and Boyo Chen and Hsuan-Tien Lin and
                  Russell L. Elsberry},
  title = {Estimating Tropical Cyclone Intensity by Satellite
                  Imagery Utilizing Convolutional Neural Networks},
  journal = {Weather and Forecasting},
  volume = 34,
  number = 2,
  pages = {447--465},
  year = 2019,
  month = apr,
  preliminary = {A shorter version appeared in KDD '18.},
  keyword = {deep, kdd},
  official = {https://doi.org/10.1175/WAF-D-18-0136.1}
}
@inproceedings{YP2018,
  author = {Yu-Shao Peng and Kai-Fu Tang and Hsuan-Tien Lin and
                  Edward Y. Chang},
  title = {{REFUEL}: Exploring Sparse Features in Deep
                  Reinforcement Learning for Fast Disease Diagnosis},
  booktitle = {Advances in Neural Information Processing Systems:
                  Proceedings of the 2018 Conference (NeurIPS)},
  year = 2018,
  month = dec,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/neurips18refuel.pdf},
  appendix = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/neurips18refuel_appendix.pdf},
  keyword = {active, deep, reinforcement}
}
@article{CY2018,
  author = {Chih-Kuan Yeh and Cheng-Yu Hsieh and Hsuan-Tien Lin},
  title = {Automatic Bridge Bidding Using Deep Reinforcement
                  Learning},
  journal = {{IEEE} Transactions on Games},
  year = 2018,
  month = dec,
  volume = 10,
  number = 4,
  pages = {365--377},
  preliminary = {A shorter version appeared in ECAI '16.},
  software = {https://github.com/yankeesrules/Automatic-Bridge-Bidding-by-Deep-Reinforcement-Learning},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/bridgedrl.pdf},
  keyword = {deep, kdd, reinforcement}
}
@inproceedings{HC2018,
  author = {Hsien-Chun Chiu and Hsuan-Tien Lin},
  title = {Multi-label Classification with Feature-aware
                  Cost-sensitive Label Embedding},
  booktitle = {Proceedings of the Conference on Technologies and
                  Applications for Artificial Intelligence (TAAI)},
  year = 2018,
  month = nov,
  pages = {40--45},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai18facle.pdf},
  keyword = {cost-sensitive, multi-label}
}
@inproceedings{YY2018b,
  author = {Yao-Yuan Yang and Yi-An Lin and Hong-Min Chu and Hsuan-Tien Lin},
  title = {Deep Learning with a Rethinking Structure for
                  Multi-label Classification},
  booktitle = {Proceedings of the Workshop on Multi-output Learning
                  @ ACML},
  year = 2018,
  month = nov,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsmol18rethink.pdf},
  keyword = {cost-sensitive, multi-label, deep}
}
@inproceedings{BC2018,
  author = {Boyo Chen and Buo-Fu Chen and Hsuan-Tien Lin},
  title = {Rotation-blended {CNNs} on a New Open Dataset for
                  Tropical Cyclone Image-to-intensity Regression},
  booktitle = {Proceedings of the 24th ACM SIGKDD International
                  Conference on Knowledge Discovery and Data Mining
                  (KDD)},
  data = {http://www.csie.ntu.edu.tw/~htlin/program/TCIR},
  year = 2018,
  month = aug,
  pages = {90--99},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/kdd18tcir.pdf},
  keyword = {deep, kdd}
}
@inproceedings{YY2018a,
  author = {Yao-Yuan Yang and Kuan-Hao Huang and Chih-Wei Chang
                  and Hsuan-Tien Lin},
  title = {Cost-Sensitive Reference Pair Encoding for
                  Multi-Label Learning},
  booktitle = {Proceedings of the Pacific-Asia Conference on
                  Knowledge Discovery and Data Mining (PAKDD)},
  year = 2018,
  month = jun,
  arxiv = {https://arxiv.org/abs/1611.09461},
  pages = {143--155},
  software = {https://github.com/yangarbiter/multilabel-learn/blob/master/mlearn/models/csrpe.py},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/pakdd18csrpe.pdf},
  keyword = {cost-sensitive, multi-label}
}
@inproceedings{YS2018,
  author = {Yong-Siang Shih and Kai-Yueh Chang and Hsuan-Tien Lin
                  and Min Sun},
  title = {Compatibility Family Learning for Item
                  Recommendation and Generation},
  booktitle = {Proceedings of the AAAI Conference on Artificial
                  Intelligence (AAAI)},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/aaai18cfl.pdf},
  arxiv = {http://arxiv.org/abs/1712.01262},
  year = 2018,
  month = feb,
  keyword = {deep, vision}
}
@inproceedings{CH2018,
  author = {Cheng-Yu Hsieh and Yi-An Lin and Hsuan-Tien Lin},
  title = {A Deep Model with Local Surrogate Loss for General
                  Cost-sensitive Multi-label Learning},
  booktitle = {Proceedings of the AAAI Conference on Artificial
                  Intelligence (AAAI)},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/aaai18llsl.pdf},
  year = 2018,
  month = feb,
  pages = {3239--3246},
  keyword = {cost-sensitive, deep, multi-label}
}
@inproceedings{KL2017,
  author = {Kuo-Hsuan Lo and Hsuan-Tien Lin},
  title = {Cost-sensitive Encoding for Label Space Dimension
                  Reduction Algorithms on Multi-label Classification},
  booktitle = {Proceedings of the Conference on Technologies and
                  Applications for Artificial Intelligence (TAAI)},
  year = 2017,
  month = dec,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai17csedr.pdf},
  keyword = {cost-sensitive, multi-label}
}
@techreport{TJ2017,
  author = {Te-Kang Jan and Da-Wei Wang and Chi-Hung Lin and Hsuan-Tien Lin},
  title = {Soft Methodology for Cost-and-error Sensitive
                  Classification},
  institution = {National Taiwan University and Academia Sinica},
  year = 2017,
  month = oct,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/softcs.pdf},
  preliminary = {A shorter version appeared in KDD '12.},
  arxiv = {http://arxiv.org/abs/1710.09515},
  keyword = {cost-sensitive}
}
@inproceedings{YL2017,
  author = {Yi-An Lin and Hsuan-Tien Lin},
  title = {Cyclic Classifier Chain for Cost-Sensitive
                  Multilabel Classification},
  booktitle = {Proceedings of the IEEE International Conference on
                  Data Science and Advanced Analytics (DSAA)},
  year = 2017,
  month = oct,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/dsaa17cccc.pdf},
  keyword = {cost-sensitive, multi-label}
}
@techreport{YY2017,
  author = {Yao-Yuan Yang and Shao-Chuan Lee and Yu-An Chung and
                  Tung-En Wu and Si-An Chen and Hsuan-Tien Lin},
  title = {libact: Pool-based Active Learning in Python},
  institution = {National Taiwan University},
  software = {https://github.com/ntucllab/libact},
  year = 2017,
  month = oct,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/libact.pdf},
  arxiv = {https://arxiv.org/abs/1710.00379},
  keyword = {active}
}
@article{KH2017,
  author = {Kuan-Hao Huang and Hsuan-Tien Lin},
  title = {Cost-Sensitive Label Embedding for Multi-Label
                  Classification},
  journal = {Machine Learning},
  pages = {1725--1746},
  volume = 106,
  number = {9--10},
  year = 2017,
  month = oct,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ecml17csle.pdf},
  arxiv = {http://arxiv.org/abs/1603.09048},
  preliminary = {Also presented in the journal track of ECML '17},
  keyword = {cost-sensitive, multi-label}
}
@techreport{WS2017,
  author = {Wei-Yuan Shen and Hsuan-Tien Lin},
  title = {Active Sampling of Pairs and Points for Large-scale
                  Linear Bipartite Ranking},
  institution = {National Taiwan University},
  year = 2017,
  month = aug,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/activesample.pdf},
  preliminary = {A shorter version appeared in ACML '13.},
  arxiv = {http://arxiv.org/abs/1708.07336},
  keyword = {ranking}
}
@article{YW2017,
  author = {Yu-Ping Wu and Hsuan-Tien Lin},
  title = {Progressive $k$-Labelsets for Cost-Sensitive
                  Multi-Label Classification},
  journal = {Machine Learning},
  pages = {671--694},
  volume = 106,
  number = 5,
  year = 2017,
  month = may,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml16prakel.pdf},
  official = {http://rdcu.be/nS3c},
  preliminary = {Also presented in the journal track of ACML '16},
  keyword = {cost-sensitive, multi-label}
}
@inproceedings{HC2016,
  author = {Hong-Min Chu and Hsuan-Tien Lin},
  title = {Can Active Learning Experience Be Transferred?},
  booktitle = {Proceedings of the IEEE International Conference on
                  Data Mining (ICDM)},
  year = 2016,
  month = dec,
  arxiv = {http://arxiv.org/abs/1608.00667},
  pages = {841--846},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icdm16tlsa.pdf},
  keyword = {active, online}
}
@inproceedings{KH2016b,
  author = {Kuan-Hao Huang and Hsuan-Tien Lin},
  title = {A Novel Uncertainty Sampling Algorithm for
                  Cost-sensitive Multiclass Active Learning},
  booktitle = {Proceedings of the IEEE International Conference on
                  Data Mining (ICDM)},
  pages = {925--930},
  year = 2016,
  month = dec,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icdm16alce.pdf},
  keyword = {active, cost-sensitive}
}
@inproceedings{CY2016,
  author = {Chih-Kuan Yeh and Hsuan-Tien Lin},
  title = {Automatic Bridge Bidding Using Deep Reinforcement
                  Learning},
  booktitle = {Proceedings of the 22nd European Conference on
                  Artificial Intelligence (ECAI)},
  pages = {1362--1369},
  year = 2016,
  month = sep,
  arxiv = {http://arxiv.org/abs/1607.03290},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ecai16bridge.pdf},
  keyword = {deep, kdd, reinforcement}
}
@inproceedings{YC2016,
  author = {Yu-An Chung and Hsuan-Tien Lin and Shao-Wen Yang},
  title = {Cost-aware Pre-training for Multiclass
                  Cost-sensitive Deep Learning},
  booktitle = {Proceedings of the 25th International Joint
                  Conference on Artificial Intelligence (IJCAI)},
  year = 2016,
  month = jul,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ijcai16csdnn.pdf},
  pages = {1411--1417},
  arxiv = {http://arxiv.org/abs/1511.09337},
  software = {https://github.com/iamyuanchung/csdnn},
  keyword = {cost-sensitive, deep}
}
@inproceedings{CL2016,
  author = {Chun-Liang Li and Hsuan-Tien Lin and Chi-Jen Lu},
  title = {Rivalry of Two Families of Algorithms for
                  Memory-Restricted Streaming PCA},
  booktitle = {Proceedings of the 19th International Conference on
                  Artificial Intelligence and Statistics (AISTATS)},
  pages = {473--481},
  month = jun,
  year = 2016,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/aistats16onlinepca.pdf},
  appendix = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/aistats16onlinepca_appendix.pdf},
  arxiv = {http://arxiv.org/abs/1506.01490},
  keyword = {online}
}
@inproceedings{KH2016a,
  author = {Kuan-Hao Huang and Hsuan-Tien Lin},
  title = {Linear Upper Confidence Bound Algorithm for
                  Contextual Bandit Problem with Piled Rewards},
  booktitle = {Proceedings of the Pacific-Asia Conference on
                  Knowledge Discovery and Data Mining (PAKDD)},
  pages = {143--155},
  volume = {1},
  month = apr,
  year = 2016,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/pakdd16piled.pdf},
  keyword = {online}
}
@inproceedings{SY2016,
  author = {Sheng-Chi You and Hsuan-Tien Lin},
  title = {A Simple Unlearning Framework for Online Learning
                  under Concept Drifts},
  booktitle = {Proceedings of the Pacific-Asia Conference on
                  Knowledge Discovery and Data Mining (PAKDD)},
  month = apr,
  pages = {115--126},
  volume = {1},
  year = 2016,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/pakdd16unlearn.pdf},
  keyword = {online}
}
@article{CL2015b,
  author = {Chun-Liang Li and Yu-Chuan Su and Ting-Wei Lin and
                  Cheng-Hao Tsai and Wei-Cheng Chang and Kuan-Hao
                  Huang and Tzu-Ming Kuo and Shan-Wei Lin and
                  Young-San Lin and Yu-Chen Lu and Chun-Pai Yang and
                  Cheng-Xia Chang and Wei-Sheng Chin and Yu-Chin Juan
                  and Hsiao-Yu Tung and Jui-Pin Wang and Cheng-Kuang
                  Wei and Felix Wu and Tu-Chun Yin and Tong Yu and
                  Yong Zhuang and Shou-De Lin and Hsuan-Tien Lin and
                  Chih-Jen Lin},
  title = {Combination of Feature Engineering and Ranking
                  Models for Paper-Author Identification in {KDD Cup}
                  2013},
  journal = {Journal of Machine Learning Research},
  volume = 16,
  number = 12,
  pages = {2921--2947},
  month = dec,
  year = 2015,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd13cup_one.pdf},
  note = {Extended first-place winner report of {KDD Cup} 2013
                  track~1},
  keyword = {kdd}
}
@inproceedings{HY2015,
  author = {Han-Jay Yang and Hsuan-Tien Lin},
  title = {A Practical Divide-and-Conquer Approach for
                  Preference-Based Learning to Rank},
  booktitle = {Proceedings of the Conference on Technologies and
                  Applications for Artificial Intelligence (TAAI)},
  note = {Winner of the best paper award},
  month = oct,
  year = 2015,
  pages = {554--561},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai15fuzzy.pdf},
  keyword = {ranking}
}
@article{CL2015a,
  author = {Chun-Liang Li and Chun-Sung Ferng and Hsuan-Tien Lin},
  title = {Active Learning Using Hint Information},
  journal = {Neural Computation},
  year = 2015,
  month = aug,
  pages = {1738--1765},
  volume = 27,
  number = 8,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/activehint.pdf},
  preliminary = {A shorter version appeared in ACML '12.},
  keyword = {active}
}
@inproceedings{CH2015,
  author = {Chun-Yen Ho and Hsuan-Tien Lin},
  title = {Contract Bridge Bidding by Learning},
  booktitle = {Proceedings of the Workshop on Computer Poker and
                  Imperfect Information @ AAAI},
  pages = {30--36},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wscpii15bridgebid.pdf},
  year = 2015,
  month = jan,
  keyword = {kdd}
}
@inproceedings{WH2015,
  author = {Wei-Ning Hsu and Hsuan-Tien Lin},
  title = {Active Learning by Learning},
  booktitle = {Proceedings of the AAAI Conference on Artificial
                  Intelligence (AAAI)},
  pages = {2659--2665},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/aaai15albl.pdf},
  year = 2015,
  month = jan,
  keyword = {active, online}
}
@inproceedings{KC2014,
  author = {Ku-Chun Chou and Chao-Kai Chiang and Hsuan-Tien Lin
                  and Chi-Jen Lu},
  title = {Pseudo-reward Algorithms for Contextual Bandits with
                  Linear Payoff Functions},
  booktitle = {Proceedings of the Asian Conference on Machine
                  Learning (ACML)},
  year = 2014,
  month = nov,
  volume = 39,
  series = {{JMLR} Workshop and Conference Proceedings},
  pages = {344--359},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml14pseudo.pdf},
  keyword = {online}
}
@inproceedings{HL2014,
  author = {Hsuan-Tien Lin},
  title = {Reduction from Cost-Sensitive Multiclass
                  Classification to One-versus-One Binary
                  Classification},
  booktitle = {Proceedings of the Asian Conference on Machine
                  Learning (ACML)},
  month = nov,
  year = 2014,
  volume = 39,
  series = {{JMLR} Workshop and Conference Proceedings},
  pages = {371--386},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml14csovo.pdf},
  keyword = {cost-sensitive}
}
@article{WC2014,
  author = {Wei-Sheng Chin and Yu-Chin Juan and Yong Zhuang and
                  Felix Wu and Hsiao-Yu Tung and Tong Yu and Jui-Pin
                  Wang and Cheng-Xia Chang and Chun-Pai Yang and
                  Wei-Cheng Chang and Kuan-Hao Huang and Tzu-Ming Kuo
                  and Shan-Wei Lin and Young-San Lin and Yu-Chen Lu
                  and Yu-Chuan Su and Cheng-Kuang Wei and Tu-Chun Yin
                  and Chun-Liang Li and Ting-Wei Lin and Cheng-Hao
                  Tsai and Shou-De Lin and Hsuan-Tien Lin and Chih-Jen
                  Lin},
  title = {Effective String Processing and Matching for Author
                  Disambiguation},
  journal = {Journal of Machine Learning Research},
  volume = 15,
  number = 10,
  pages = {3037--3064},
  month = oct,
  year = 2014,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd13cup_two.pdf},
  note = {Extended first-place winner report of {KDD Cup} 2013
                  track~2},
  keyword = {kdd}
}
@inproceedings{CL2014b,
  author = {Chun-Liang Li and Hsuan-Tien Lin},
  title = {Condensed Filter Tree for Cost-Sensitive Multi-Label
                  Classification},
  booktitle = {Proceedings of the International Conference on
                  Machine Learning (ICML)},
  month = jun,
  year = 2014,
  pages = {423--431},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icml14CSMLtree.pdf},
  appendix = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icml14CSMLtree_appendix.pdf},
  keyword = {cost-sensitive, multi-label}
}
@inproceedings{SC2014,
  author = {Shang-Tse Chen and Hsuan-Tien Lin and Chi-Jen Lu},
  title = {Boosting with Online Binary Learners for the
                  Multiclass Bandit Problem},
  booktitle = {Proceedings of the International Conference on
                  Machine Learning (ICML)},
  month = jun,
  year = 2014,
  pages = {342--350},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icml14banditboost.pdf},
  keyword = {online}
}
@inproceedings{YC2014,
  author = {Yu-Cheng Chou and Hsuan-Tien Lin},
  title = {Machine Learning Approaches for Interactive
                  Verification},
  booktitle = {Proceedings of the Pacific-Asia Conference on
                  Knowledge Discovery and Data Mining (PAKDD), Part
                  II},
  month = may,
  year = 2014,
  volume = 8444,
  series = {Lecture Notes in Computer Science},
  pages = {122--133},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/pakdd14interactive.pdf},
  keyword = {active}
}
@article{YR2014,
  author = {Yu-Xun Ruan and Hsuan-Tien Lin and Ming-Feng Tsai},
  title = {Improving Ranking Performance with Cost-sensitive
                  Ordinal Classification via Regression},
  journal = {Information Retrieval},
  month = feb,
  year = 2014,
  volume = 17,
  number = 1,
  pages = {1--20},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/cocr.pdf},
  keyword = {cost-sensitive, ranking}
}
@inproceedings{KL2013,
  author = {Ken-Yi Lin and Te-Kang Jan and Hsuan-Tien Lin},
  title = {Data Selection Techniques for Large-scale {RankSVM}},
  booktitle = {Proceedings of the Conference on Technologies and
                  Applications for Artificial Intelligence (TAAI)},
  month = dec,
  year = 2013,
  pages = {25--30},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai13prune.pdf},
  keyword = {ranking}
}
@inproceedings{YC2013,
  author = {Ya-Hsuan Chang and Hsuan-Tien Lin},
  title = {Pairwise Regression with Upper Confidence Bound for
                  Contextual Bandit with Multiple Actions},
  booktitle = {Proceedings of the Conference on Technologies and
                  Applications for Artificial Intelligence (TAAI)},
  month = dec,
  year = 2013,
  pages = {19--24},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai13cbma.pdf},
  keyword = {online}
}
@inproceedings{PC2013,
  author = {Po-Lung Chen and Hsuan-Tien Lin},
  title = {Active Learning for Multiclass Cost-Sensitive
                  Classification Using Probabilistic Models},
  booktitle = {Proceedings of the Conference on Technologies and
                  Applications for Artificial Intelligence (TAAI)},
  month = dec,
  year = 2013,
  pages = {13--18},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/taai13coactive.pdf},
  keyword = {active, cost-sensitive}
}
@inproceedings{WS2013,
  author = {Wei-Yuan Shen and Hsuan-Tien Lin},
  title = {Active Sampling of Pairs and Points for Large-scale
                  Linear Bipartite Ranking},
  booktitle = {Proceedings of the Asian Conference on Machine
                  Learning (ACML)},
  month = nov,
  year = 2013,
  volume = 29,
  series = {{JMLR} Workshop and Conference Proceedings},
  pages = {388--403},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml13bipartite.pdf},
  keyword = {ranking}
}
@article{CF2013,
  author = {Chun-Sung Ferng and Hsuan-Tien Lin},
  title = {Multilabel Classification Using Error-correcting
                  Codes of Hard or Soft Bits},
  journal = {{IEEE} Transactions on Neural Networks and Learning
                  Systems},
  volume = 24,
  number = 11,
  pages = {1888--1900},
  month = nov,
  year = 2013,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/mlecc.pdf},
  preliminary = {A shorter version appeared in ACML '11.},
  keyword = {multi-label}
}
@inproceedings{YC2012,
  author = {Yao-Nan Chen and Hsuan-Tien Lin},
  title = {Feature-aware Label Space Dimension Reduction for
                  Multi-label Classification},
  booktitle = {Advances in Neural Information Processing Systems:
                  Proceedings of the 2012 Conference (NeurIPS)},
  month = dec,
  year = 2012,
  pages = {1529--1537},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/nips12cplst.pdf},
  keyword = {multi-label}
}
@inproceedings{CL2012,
  author = {Chun-Liang Li and Chun-Sung Ferng and Hsuan-Tien Lin},
  title = {Active Learning with Hinted Support Vector Machine},
  booktitle = {Proceedings of the Asian Conference on Machine
                  Learning (ACML)},
  month = nov,
  year = 2012,
  volume = 25,
  series = {{JMLR} Workshop and Conference Proceedings},
  pages = {221--235},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml12hint.pdf},
  keyword = {active}
}
@article{FT2012,
  author = {Farbound Tai and Hsuan-Tien Lin},
  title = {Multilabel Classification with Principal Label Space
                  Transformation},
  journal = {Neural Computation},
  month = sep,
  year = 2012,
  pages = {2508--2542},
  volume = 24,
  number = 9,
  preliminary = {A preliminary version (under a mis-spelled title)
                  appeared in the MLD Workshop @ ICML '10.},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/plst.pdf},
  keyword = {multi-label}
}
@article{YK2012,
  author = {Yin-Hsi Kuo and Wen-Huang Cheng and Hsuan-Tien Lin
                  and Winston H. Hsu},
  title = {Unsupervised Semantic Feature Discovery for Image
                  Object Retrieval and Tag Refinement},
  journal = {IEEE Transactions on Multimedia},
  month = aug,
  year = 2012,
  volume = 14,
  number = 4,
  pages = {1079--1090},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/usfd.pdf},
  keyword = {vision}
}
@inproceedings{TJ2012,
  author = {Te-Kang Jan and Da-Wei Wang and Chi-Hung Lin and Hsuan-Tien Lin},
  title = {A Simple Methodology of Soft Cost-sensitive
                  Classification},
  booktitle = {Proceedings of the 18th ACM SIGKDD International
                  Conference on Knowledge Discovery and Data Mining
                  (KDD)},
  month = aug,
  year = 2012,
  pages = {141--149},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/kdd12softcost.pdf},
  keyword = {cost-sensitive}
}
@techreport{KW2012,
  author = {Kuan-Wei Wu and Chun-Sung Ferng and Chia-Hua Ho and
                  An-Chun Liang and Chun-Heng Huang and Wei-Yuan Shen
                  and Jyun-Yu Jiang and Ming-Hao Yang and Ting-Wei Lin
                  and Ching-Pei Lee and Perng-Hwa Kung and Chin-En
                  Wang and Ting-Wei Ku and Chun-Yen Ho and Yi-Shu Tai
                  and I-Kuei Chen and Wei-Lun Huang and Che-Ping Chou
                  and Tse-Ju Lin and Han-Jay Yang and Yen-Kai Wang and
                  Cheng-Te Li and Shou-De Lin and Hsuan-Tien Lin},
  title = {A Two-Stage Ensemble of Diverse Models for
                  Advertisement Ranking in {KDD Cup} 2012},
  institution = {National Taiwan University},
  month = aug,
  year = 2012,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd12cup.pdf},
  note = {First-place winner report of {KDD Cup} 2012 track~2},
  keyword = {kdd}
}
@techreport{KC2012,
  author = {Ku-Chun Chou and Hsuan-Tien Lin},
  title = {Balancing between Estimated Reward and Uncertainty
                  during News Article Recommendation for {ICML} 2012
                  Exploration and Exploitation Challenge},
  institution = {National Taiwan University},
  month = jun,
  year = 2012,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsicml12ene.pdf},
  note = {First-place winner report of the Exploration and
                  Exploitation Challenge @ ICML 2012 phase~1},
  keyword = {online}
}
@techreport{HL2012b,
  author = {Hsuan-Tien Lin and Malik Madgon-Ismail and Yaser
                  S. Abu-Mostafa},
  title = {Teaching Machine Learning to a Diverse Audience: the
                  Foundation-based Approach},
  institution = {National Taiwan Unversity},
  note = {Presented in the Teaching Machine Learning Workshop
                  @ ICML '12},
  month = jun,
  year = 2012,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wstml12solid.pdf},
  keyword = {other}
}
@inproceedings{SC2012,
  author = {Shang-Tse Chen and Hsuan-Tien Lin and Chi-Jen Lu},
  title = {An Online Boosting Algorithm with Theoretical
                  Justifications},
  booktitle = {Proceedings of the International Conference on
                  Machine Learning (ICML)},
  month = jun,
  year = 2012,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icml12onlineboost.pdf},
  keyword = {online}
}
@article{HL2012a,
  author = {Hsuan-Tien Lin and Ling Li},
  title = {Reduction from Cost-sensitive Ordinal Ranking to
                  Weighted Binary Classification},
  journal = {Neural Computation},
  month = may,
  year = 2012,
  volume = 24,
  number = 5,
  pages = {1329--1367},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/redordinal.pdf},
  preliminary = {Some preliminary parts appeared in NeurIPS '06 and PL
                  Workshop @ ECML/PKDD '09.},
  keyword = {cost-sensitive, ranking}
}
@inproceedings{TM2012,
  author = {Todd G. McKenzie and Chun-Sung Ferng and Yao-Nan
                  Chen and Chun-Liang Li and Cheng-Hao Tsai and
                  Kuan-Wei Wu and Ya-Hsuan Chang and Chung-Yi Li and
                  Wei-Shih Lin and Shu-Hao Yu and Chieh-Yen Lin and
                  Po-Wei Wang and Chia-Mau Ni and Wei-Lun Su and
                  Tsung-Ting Kuo and Chen-Tse Tsai and Po-Lung Chen
                  and Rong-Bing Chiu and Ku-Chun Chou and Yu-Cheng
                  Chou and Chien-Chih Wang and Chen-Hung Wu and Hsuan-Tien Lin and Chih-Jen Lin and Shou-De Lin},
  title = {Novel Models and Ensemble Techniques to Discriminate
                  Favorite Items from Unrated Ones for Personalized
                  Music Recommendation},
  booktitle = {Proceedings of the {KDD Cup} 2011 Workshop},
  month = may,
  year = 2012,
  volume = 18,
  series = {{JMLR} Workshop and Conference Proceedings},
  pages = {101--135},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd11cup_two.pdf},
  note = {First-place winner report of {KDD Cup} 2011 track~2},
  keyword = {kdd}
}
@inproceedings{PC2012,
  author = {Po-Lung Chen and Chen-Tse Tsai and Yao-Nan Chen and
                  Ku-Chun Chou and Chun-Liang Li and Cheng-Hao Tsai
                  and Kuan-Wei Wu and Yu-Cheng Chou and Chung-Yi Li
                  and Wei-Shih Lin and Shu-Hao Yu and Rong-Bing Chiu
                  and Chieh-Yen Lin and Chien-Chih Wang and Po-Wei
                  Wang and Wei-Lun Su and Chen-Hung Wu and Tsung-Ting
                  Kuo and Todd G. McKenzie and Ya-Hsuan Chang and
                  Chun-Sung Ferng and Chia-Mau Ni and Hsuan-Tien Lin
                  and Chih-Jen Lin and Shou-De Lin},
  title = {A Linear Ensemble of Individual and Blended Models
                  for Music Rating Prediction},
  booktitle = {Proceedings of the {KDD Cup} 2011 Workshop},
  month = may,
  year = 2012,
  volume = 18,
  series = {{JMLR} Workshop and Conference Proceedings},
  pages = {21--60},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd11cup_one.pdf},
  note = {First-place winner report of {KDD Cup} 2011 track~1},
  keyword = {kdd}
}
@book{YA2012,
  author = {Yaser S. Abu-Mostafa and Malik Magdon-Ismail and Hsuan-Tien Lin},
  title = {Learning from Data: A Short Course},
  publisher = {AMLBook},
  month = mar,
  year = {2012},
  isbn = {978-1600490064},
  url = {http://amlbook.com},
  keyword = {other}
}
@inproceedings{CH2011,
  author = {Chen-Wei Hung and Hsuan-Tien Lin},
  title = {Multi-label Active Learning with Auxiliary Learner},
  booktitle = {Proceedings of the Asian Conference on Machine
                  Learning (ACML)},
  month = nov,
  year = 2011,
  volume = 20,
  series = {{JMLR} Workshop and Conference Proceedings},
  pages = {315--330},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml11auxiliary.pdf},
  keyword = {active, multi-label}
}
@inproceedings{CF2011,
  author = {Chun-Sung Ferng and Hsuan-Tien Lin},
  title = {Multi-label Classification with Error-correcting
                  Codes},
  booktitle = {Proceedings of the Asian Conference on Machine
                  Learning (ACML)},
  month = nov,
  year = 2011,
  volume = 20,
  series = {{JMLR} Workshop and Conference Proceedings},
  pages = {281--295},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/acml11ecoc.pdf},
  keyword = {multi-label}
}
@inproceedings{TJ2011,
  author = {Te-Kang Jan and Hsuan-Tien Lin and Hsin-Pai Chen and
                  Tsung-Chen Chern and Chung-Yueh Huang and Bing-Cheng
                  Wen and Chia-Wen Chung and Yung-Jui Li and Ya-Ching
                  Chuang and Li-Li Li and Yu-Jiun Chan and Juen-Kai
                  Wang and Yuh-Lin Wang and Chi-Hung Lin and Da-Wei
                  Wang},
  title = {Cost-sensitive Classification on Pathogen Species of
                  Bacterial Meningitis by {Surface Enhanced Raman
                  Scattering}},
  booktitle = {Proceedings of the IEEE International Conference on
                  Bioinformatics and Biomedicine (BIBM)},
  year = 2011,
  month = nov,
  pages = {390--393},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/bibm11csc.pdf},
  keyword = {cost-sensitive, kdd}
}
@inproceedings{YK2011,
  author = {Yin-Hsi Kuo and Hsuan-Tien Lin and Wen-Huang Cheng
                  and Yi-Hsuan Yang and Winston H. Hsu},
  title = {Unsupervised Auxiliary Visual Words Discovery for
                  Large-Scale Image Object Retrieval},
  booktitle = {Proceedings of the IEEE Computer Society Conference
                  on Computer Vision and Pattern Recognition (CVPR)},
  month = jun,
  year = 2011,
  pages = {905--912},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/cvpr11vwd.pdf},
  keyword = {vision}
}
@techreport{HL2010,
  author = {Hsuan-Tien Lin},
  title = {Cost-sensitive Classification: Status and Beyond},
  institution = {National Taiwan University},
  month = nov,
  year = 2010,
  note = {Presented in the Workshop on Machine Learning
                  Research in Taiwan: Challenges and Directions @ TAAI
                  '10},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsmlrt10cost.pdf},
  keyword = {cost-sensitive}
}
@inproceedings{HY2010,
  author = {Hsiang-Fu Yu and Hung-Yi Lo and Hsun-Ping Hsieh and
                  Jing-Kai Lou and Todd G. McKenzie and Jung-Wei Chou
                  and Po-Han Chung and Chia-Hua Ho and Chun-Fu Chang
                  and Yin-Hsuan Wei and Jui-Yu Weng and En-Syu Yan and
                  Che-Wei Chang and Tsung-Ting Kuo and Yi-Chen Lo and
                  Po Tzu Chang and Chieh Po and Chien-Yuan Wang and
                  Yi-Hung Huang and Chen-Wei Hung and Yu-Xun Ruan and
                  Yu-Shi Lin and Shou-De Lin and Hsuan-Tien Lin and
                  Chih-Jen Lin},
  title = {Feature Engineering and Classifier Ensemble for {KDD
                  Cup} 2010},
  booktitle = {Proceedings of the KDD Cup 2010 Workshop},
  year = {2010},
  month = jul,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd10cup.pdf},
  note = {First-place winner report of {KDD Cup} 2010},
  keyword = {kdd}
}
@techreport{MT2010,
  author = {Ming-Feng Tsai and Shang-Tse Chen and Yao-Nan Chen
                  and Chun-Sung Ferng and Chia-Hsuan Wang and Tzay-Yeu
                  Wen and Hsuan-Tien Lin},
  title = {An Ensemble Ranking Solution to the Yahoo! Learning
                  to Rank Challenge},
  institution = {National Taiwan University},
  month = jun,
  year = 2010,
  note = {Presented in the Workshop of Yahoo! Learning to Rank
                  Challenge @ ICML '10},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsltr10ensemble.pdf},
  keyword = {kdd, ranking}
}
@inproceedings{FT2010a,
  author = {Farbound Tai and Hsuan-Tien Lin},
  title = {Multi-label Classification with Principle Label
                  Space Transformation},
  booktitle = {Proceedings of the 2nd International Workshop on
                  learning from Multi-Label Data @ ICML '10},
  month = jun,
  year = 2010,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsmld10plst.pdf},
  keyword = {multi-label}
}
@inproceedings{HT2010,
  author = {Han-Hsing Tu and Hsuan-Tien Lin},
  title = {One-sided Support Vector Regression for Multiclass
                  Cost-sensitive Classification},
  booktitle = {Proceedings of the 27th International Conference on
                  Machine Learning (ICML)},
  month = jun,
  year = 2010,
  pages = {1095--1102},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/icml10osr.pdf},
  keyword = {cost-sensitive}
}
@inproceedings{HL2009,
  author = {Hsuan-Tien Lin and Ling Li},
  title = {Combining Ordinal Preferences by Boosting},
  month = sep,
  year = 2009,
  booktitle = {Proceedings of the Preference Learning Workshop in
                  ECML/PKDD '09},
  pages = {69--83},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wspl09adaboostor.pdf},
  keyword = {ranking}
}
@inproceedings{HLo2009,
  author = {Hung-Yi Lo and Kai-Wei Chang and Shang-Tse Chen and
                  Tsung-Hsien Chiang and Chun-Sung Ferng and Cho-Jui
                  Hsieh and Yi-Kuang Ko and Tsung-Ting Kuo and
                  Hung-Che Lai and Ken-Yi Lin and Chia-Hsuan Wang and
                  Hsiang-Fu Yu and Chih-Jen Lin and Hsuan-Tien Lin and
                  Shou-De Lin},
  title = {An Ensemble of Three Classifiers for KDD Cup 2009:
                  Expanded Linear Model, Heterogeneous Boosting, and
                  Selective Na{\"i}ve Bayes},
  booktitle = {Proceedings of KDD-Cup 2009 competition},
  pages = {57--64},
  month = jun,
  year = 2009,
  volume = 7,
  series = {{JMLR} Workshop and Conference Proceedings},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wskdd09cup.pdf},
  note = {Third-place winner report of {KDD Cup} 2009 slow
                  track},
  keyword = {kdd}
}
@phdthesis{HL2008b,
  author = {Hsuan-Tien Lin},
  title = {From Ordinal Ranking to Binary Classification},
  school = {California Institute of Technology},
  year = 2008,
  month = jun,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/phdthesis.pdf},
  keyword = {ranking}
}
@article{HL2008a,
  author = {Hsuan-Tien Lin and Ling Li},
  title = {Support Vector Machinery for Infinite Ensemble
                  Learning},
  journal = {Journal of Machine Learning Research},
  year = 2008,
  month = feb,
  volume = 9,
  number = 2,
  pages = {285--312},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/infkernel.pdf},
  preliminary = {Some preliminary parts appeared in ECML '05 and
                  ICONIP '05.},
  keyword = {kernel}
}
@article{HL2007,
  author = {Hsuan-Tien Lin and Chih-Jen Lin and Ruby C. Weng},
  title = {A Note on {Platt's} Probabilistic Outputs for Support
                  Vector Machines},
  journal = {Machine Learning},
  volume = 68,
  number = 3,
  month = aug,
  year = 2007,
  pages = {267--276},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/plattprob.pdf},
  keyword = {kernel}
}
@inproceedings{LL2007,
  author = {Ling Li and Hsuan-Tien Lin},
  title = {Optimizing 0/1~Loss for Perceptrons by Random
                  Coordinate Descent},
  booktitle = {Proceedings of the 2007 International Joint
                  Conference on Neural Networks (IJCNN)},
  pages = {749--754},
  month = aug,
  year = 2007,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ijcnn07rcd.pdf},
  keyword = {other}
}
@inproceedings{LL2006,
  author = {Ling Li and Hsuan-Tien Lin},
  title = {Ordinal Regression by Extended Binary
                  Classification},
  month = dec,
  year = 2006,
  booktitle = {Advances in Neural Information Processing Systems :
                  Proceedings of the 2006 Conference (NeurIPS)},
  pages = {865--872},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/nips06reduction.pdf},
  keyword = {ranking}
}
@inproceedings{HL2006,
  author = {Hsuan-Tien Lin and Ling Li},
  title = {Large-Margin Thresholded Ensembles for Ordinal
                  Regression: Theory and Practice},
  month = oct,
  year = 2006,
  booktitle = {Algorithmic Learning Theory (ALT)},
  volume = 4264,
  series = {Lecture Notes in Artificial Intelligence},
  pages = {319--333},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/alt06orboost.pdf},
  keyword = {ranking}
}
@inproceedings{HL2005d,
  author = {Hsuan-Tien Lin and Ling Li},
  title = {Novel Distance-Based {SVM} Kernels for Infinite
                  Ensemble Learning},
  year = 2005,
  month = nov,
  booktitle = {Proceedings of the 12th International Conference on
                  Neural Information Processing (ICONIP)},
  pages = {761--766},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/iconip05kernels.pdf},
  keyword = {kernel}
}
@inproceedings{HL2005c,
  author = {Hsuan-Tien Lin and Ling Li},
  title = {Analysis of {SAGE} Results with Combined Learning
                  Techniques},
  booktitle = {Proceedings of the {ECML/PKDD} 2005 Discovery
                  Challenge},
  pages = {102--113},
  year = 2005,
  month = nov,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/wsecmlpkdd05sage.pdf},
  keyword = {kdd}
}
@inproceedings{LL2005,
  author = {Ling Li and Amrit Pratap and Hsuan-Tien Lin and Yaser
                  S. Abu-Mostafa},
  title = {Improving Generalization by Data Categorization},
  booktitle = {Knowledge Discovery in Databases (PKDD)},
  year = 2005,
  month = nov,
  volume = 3721,
  series = {Lecture Notes in Computer Science},
  pages = {157--168},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/pkdd05fingerprint.pdf},
  keyword = {other}
}
@inproceedings{HL2005b,
  author = {Hsuan-Tien Lin and Ling Li},
  title = {Infinite Ensemble Learning with Support Vector
                  Machines},
  booktitle = {Machine Learning: Proceedings of the 16th European
                  Conference on Machine Learning (ECML)},
  volume = 3720,
  series = {Lecture Notes in Computer Science},
  pages = {242--254},
  month = oct,
  year = 2005,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ecml05stump.pdf},
  keyword = {kernel}
}
@mastersthesis{HL2005a,
  author = {Hsuan-Tien Lin},
  title = {Infinite Ensemble Learning with Support Vector
                  Machines},
  school = {California Institute of Technology},
  year = 2005,
  month = jun,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/msthesis.pdf},
  keyword = {kernel}
}
@techreport{HL2003,
  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 = {National Taiwan University},
  month = mar,
  year = 2003,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/tanh.pdf},
  keyword = {kernel}
}
@article{SL2002,
  author = {Shuo-Peng Liao and Hsuan-Tien Lin and Chih-Jen Lin},
  title = {A Note on the Decomposition Methods for Support
                  Vector Regression},
  journal = {Neural Computation},
  year = 2002,
  volume = 14,
  number = 6,
  month = jun,
  pages = {1267--1281},
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/svr2and4.pdf},
  preliminary = {A preliminary version appeared in IJCNN '01.},
  keyword = {kernel}
}
@inproceedings{SL2001,
  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 the 2001 International Joint
                  Conference on Neural Networks (IJCNN)},
  pages = {1474--1479},
  year = 2001,
  month = jul,
  pdf = {http://www.csie.ntu.edu.tw/~htlin/paper/doc/ijcnn01svr2and4.pdf},
  keyword = {kernel}
}

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