stochastic optimization

Fast Rates for Regularized Objectives NeurIPS 2008 Mortal Multi-Armed Bandits NeurIPS 2008 Online Optimization in X-Armed Bandits NeurIPS 2008 A Randomized Algorithm for Large Scale Support Vector Learning NeurIPS 2007 Fast Iterative Kernel Principal Component Analysis JMLR 2007 Sequential Hypothesis Testing under Stochastic Deadlines NeurIPS 2007 The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty RSS 2007 Fast Iterative Kernel PCA NeurIPS 2006 implicit Online Learning with Kernels NeurIPS 2006 Blind Source Recovery: A Framework in the State Space JMLR 2003 Policy Search using Paired Comparisons JMLR 2002 Learning Evaluation Functions to Improve Optimization by Local Search JMLR 2000