Chih-Jen Lin's recent talks

• Training support vector machines: status and challenges Talk at IBM T.J. Watson Research Center, May 16, 2008
• Support vector machines: status and challenges Talk at Caltech, November 14, 2006
• Support vector machines Tutorial talk at Machine learning summer school, Taipei, 2006
• Ranking Individuals by Group Comparisons Talk at International Conference on Machine Learning, June 2006.
• Working Set Selection Using Second Order Information for Training SVM Talk at Workshop on Large Scale Kernel Machines, NIPS 2005.
• Optimization, Support Vector Machines, and Machine Learning. Talk in DIS, University of Rome and IASI, CNR, Italy. September 1-2, 2005. This is a short course introducing optimization researchers about SVM research.
• Support vector machines for data classification. Talk in CWI (Dutch National Research Institute for Mathematics and Computer Science). February 9, 2004.
• Some thoughts on machine learning software design. Talk in University of Southampton, Februaryd 6, 2004.
• A practical guide to support vector classification Talk in University of Freiburg, July 15, 2003.
• Can support vector machines become a major classification method ? Talk in Max Planck Institute, January 29, 2003. PDF file
• Support Vector Machines for Data Classification and Regression Talk in Merck Research Lab., August 16, 2002.
• EUNITE Competition: Electricity Load Forecasting Talk in EUNITE 2001 (winner of EUNITE competition), December 14, 2001.
• Support Vector Machines for Data Classification and Regression Talk in Ford Scientific Research Lab., July 24, 2001. (a similar talk was given at Agilent Inc., July 31, 2001)
• IJCNN 2001 Challenge: Generalization Ability and Text Decoding Talk in IJCNN (winner of IJCNN Challenge), July 17 2001.
• Implementation of support vector machines software: theory and practice Talk in Department of Electrical Engineering, Ohio State University, August 29, 2000.
• The analysis of decomposition methods for support vector machines. Talk in IJCAI 99, Support vector machine workshop. Stockholm, Aug 2, 1999.
• Solving Structural Optimization Problems via Semidefinite Programming. Talk in INFORMS annual meeting, Seattle, October 25-28, 1998.
• Preconditioning dense linear systems from large-scale semidefinite programming problems. Talk in Fifth Copper Mountain Conference on Iterative Methods, Copper Mountain, Colorado, April, 1998.
• Incomplete Cholesky factorizations with limited memory. Talk in Fourth Kalamazoo Symposium on Matrix Analysis & Applications, Kalamazoo, MI, Oct. 24-25, 1997
• Newton's method for large bound-constrained optimization problems. Talk in International Symposium of Mathematical Programming, Lausanne, Switzerland, August 24-29, 1997.