online learning

Robust Stochastic Principal Component Analysis AISTATS 2014 Selective Sampling with Drift AISTATS 2014 Set-Valued Approachability and Online Learning with Partial Monitoring JMLR 2014 Shaping Social Activity by Incentivizing Users NeurIPS 2014 Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NeurIPS 2014 Spectral Bandits for Smooth Graph Functions ICML 2014 Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices ICML 2014 Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits ICML 2014 The Blinded Bandit: Learning with Adaptive Feedback NeurIPS 2014 Three Guidelines of Online Learning for Large-Scale Visual Recognition CVPR 2014 Towards Minimax Online Learning with Unknown Time Horizon ICML 2014 Training Highly Multiclass Classifiers JMLR 2014 True Online TD(lambda) ICML 2014 Variational Gaussian Process State-Space Models NeurIPS 2014 Achievability of Asymptotic Minimax Regret in Online and Batch Prediction ACML 2013 Adaptive Market Making via Online Learning NeurIPS 2013 Adaptive Submodular Maximization in Bandit Setting NeurIPS 2013 Adaptive Task Assignment for Crowdsourced Classification ICML 2013 A Gang of Bandits NeurIPS 2013 A Last-Step Regression Algorithm for Non-Stationary Online Learning AISTATS 2013 Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training ICML 2013 A near-optimal algorithm for finite partial-monitoring games against adversarial opponents COLT 2013 Approachability, fast and slow COLT 2013 Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits NeurIPS 2013 Better Rates for Any Adversarial Deterministic MDP ICML 2013