NIPS 2002 Review Session The goal of this review session 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. Click here for the conference pre-proceedings. The following people have been kind enough to volunteer discuss the specific papers listed below: Maxim Likhachev - Bayesian Monte Carlo     by Carl Edward Rasmussen and Zoubin Ghahramani Drew Bagnell - Boosting as a Regularized Path to a Maximum Margin Classifier (Stanford Statistics Department Tech Report)     by Saharon Rosset, Ji Zhu, and Trevor Hastie - Boosting Density Estimation     by Saharon Rosset, and Eran Segal Guy Lebanon - Conditional Models on the Ranking Poset     by Guy Lebanon and John Lafferty

Back to the Main Page