online learning

Bandit Convex Optimization: Towards Tight Bounds NeurIPS 2014 Boosting with Online Binary Learners for the Multiclass Bandit Problem ICML 2014 Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications ICML 2014 Concept Drift Detection Through Resampling ICML 2014 Conditional Swap Regret and Conditional Correlated Equilibrium NeurIPS 2014 Cover Tree Bayesian Reinforcement Learning JMLR 2014 Discovering, Learning and Exploiting Relevance NeurIPS 2014 Doubly Aggressive Selective Sampling Algorithms for Classification AISTATS 2014 Efficient learning by implicit exploration in bandit problems with side observations NeurIPS 2014 Efficient Minimax Strategies for Square Loss Games NeurIPS 2014 Efficient Partial Monitoring with Prior Information NeurIPS 2014 Ensemble Methods for Structured Prediction ICML 2014 Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NeurIPS 2014 Extreme bandits NeurIPS 2014 Follow the Leader If You Can, Hedge If You Must JMLR 2014 Follow the Leader with Dropout Perturbations COLT 2014 From Categories to Individuals in Real Time -- A Unified Boosting Approach CVPR 2014 Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes AISTATS 2014 Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques ICML 2014 Incremental Activity Modeling and Recognition in Streaming Videos CVPR 2014 Incremental Clustering: The Case for Extra Clusters NeurIPS 2014 Learning Multiple Tasks in Parallel with a Shared Annotator NeurIPS 2014 Learning Optimal Commitment to Overcome Insecurity NeurIPS 2014 Learning the Learning Rate for Prediction with Expert Advice NeurIPS 2014 Learning Theory and Algorithms for revenue optimization in second price auctions with reserve ICML 2014