NIPS 2001 Review Sessions The goal of these review sessions is to provide a flavor / highlights of the NIPS conference which took place in December by presenting short summaries of some of the papers presented at the conference. The following people have been kind enough to volunteer discuss the specific papers listed below. Also, here is a nice text version of the conference program. Review Session 1 This session will be held on Monday - 2/11 at Noon in Wean 8220. Weng-Keen Wong - On Spectral Clustering: Analysis and an Algorithm     by Andrew Y. Ng, Michael Jordan, and Yair Weiss Geoff Gordon - Slides - The Concave-Convex Principle (CCCP)     by Alan L. Yuille and Anand Rangarajan Stella Yu - Partially labeled classification with Markov random walks     by Martin Szummer and Tommi Jaakkola Nick Roy - Slides - Color Star Office Slides - Global Co-ordination of Local Linear Models     by Sam T. Roweis, Lawrence K. Saul, and Geoffrey E. Hinton Review Session 2 This session will be held on Monday - 2/18 at Noon in Wean 8220. John Langford - Slides - On Discriminative vs. Generative Classifiers: A comparison of logistic regression and Naive Bayes     by Andrew Y. Ng and Michael Jordan Guy Lebanon - Slides - A Generalization of Principal Component Analysis to the Exponential Family     by Michael Collins, Sanjoy Dasgupta and Robert E. Schapire Drew Bagnell - will talk about Linear Programming and variance reduction mechanisms in control applications     (there were about 5 closely related papers on these topics...) Chuck Rosenberg - Slides - Semi-Supervised MarginBoost     by F. d'Alché-Buc, Yves Grandvalet and Christophe Ambroise

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