Learning Theory

Prediction With Expert Advice For The Brier Game JMLR 2009 Provably Efficient Learning with Typed Parametric Models JMLR 2009 Reinforcement Learning in Finite MDPs: PAC Analysis JMLR 2009 Slow Learners are Fast NeurIPS 2009 Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NeurIPS 2009 Statistical Consistency of Top-k Ranking NeurIPS 2009 STDP enables spiking neurons to detect hidden causes of their inputs NeurIPS 2009 Sufficient Conditions for Agnostic Active Learnable NeurIPS 2009 When Is There a Representer Theorem? Vector Versus Matrix Regularizers JMLR 2009 Which graphical models are difficult to learn? NeurIPS 2009 Adaptive Martingale Boosting NeurIPS 2008 Aggregation of SVM Classifiers Using Sobolev Spaces JMLR 2008 Algorithms for Infinitely Many-Armed Bandits NeurIPS 2008 A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning NeurIPS 2008 Consistency of the Group Lasso and Multiple Kernel Learning JMLR 2008 Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NeurIPS 2008 Domain Adaptation with Multiple Sources NeurIPS 2008 Exact Convex Confidence-Weighted Learning NeurIPS 2008 Fast Rates for Regularized Objectives NeurIPS 2008 Finite-Time Bounds for Fitted Value Iteration JMLR 2008 From Online to Batch Learning with Cutoff-Averaging NeurIPS 2008 Human Active Learning NeurIPS 2008 Inferring rankings under constrained sensing NeurIPS 2008 Learning Balls of Strings from Edit Corrections JMLR 2008 Learning from Multiple Sources JMLR 2008