Online Learning

Multi-Bandit Best Arm Identification NeurIPS 2011 Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction NeurIPS 2011 Nonlinear Online Classification Algorithm with Probability Margin ACML 2011 Online Learning: Beyond Regret COLT 2011 Online Learning of Multiple Tasks and Their Relationships AISTATS 2011 Online Learning of Structured Predictors with Multiple Kernels AISTATS 2011 Online Learning: Stochastic, Constrained, and Smoothed Adversaries NeurIPS 2011 Online Submodular Set Cover, Ranking, and Repeated Active Learning NeurIPS 2011 On the Universality of Online Mirror Descent NeurIPS 2011 Predicting Dynamic Difficulty NeurIPS 2011 Prediction strategies without loss NeurIPS 2011 Regret Bounds for the Adaptive Control of Linear Quadratic Systems COLT 2011 Robust approachability and regret minimization in games with partial monitoring COLT 2011 Selecting the State-Representation in Reinforcement Learning NeurIPS 2011 Stochastic convex optimization with bandit feedback NeurIPS 2011 TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NeurIPS 2011 The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond COLT 2011 A Bayesian Approach to Concept Drift NeurIPS 2010 Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking ACML 2010 A Potential-based Framework for Online Multi-class Learning with Partial Feedback AISTATS 2010 Batch Bayesian Optimization via Simulation Matching NeurIPS 2010 Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010 Decision Tree for Dynamic and Uncertain Data Streams ACML 2010 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010