Online Learning

Memoized Online Variational Inference for Dirichlet Process Mixture Models NeurIPS 2013 Multi-armed Bandit Problem with Lock-up Periods ACML 2013 Multiple Identifications in Multi-Armed Bandits ICML 2013 (Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings NeurIPS 2013 One-Pass AUC Optimization ICML 2013 Online Kernel Learning with a Near Optimal Sparsity Bound ICML 2013 Online Learning for Time Series Prediction COLT 2013 Online learning in episodic Markovian decision processes by relative entropy policy search NeurIPS 2013 Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions NeurIPS 2013 Online Learning of Dynamic Parameters in Social Networks NeurIPS 2013 Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NeurIPS 2013 Online Learning with Costly Features and Labels NeurIPS 2013 Online Learning with Switching Costs and Other Adaptive Adversaries NeurIPS 2013 Online PCA for Contaminated Data NeurIPS 2013 Online Robust Dictionary Learning CVPR 2013 Online Robust PCA via Stochastic Optimization NeurIPS 2013 Online Similarity Prediction of Networked Data from Known and Unknown Graphs COLT 2013 Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NeurIPS 2013 On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions ICML 2013 Opportunistic Strategies for Generalized No-Regret Problems COLT 2013 Optimization, Learning, and Games with Predictable Sequences NeurIPS 2013 Prediction by random-walk perturbation COLT 2013 Random Spanning Trees and the Prediction of Weighted Graphs JMLR 2013 Regression-tree Tuning in a Streaming Setting NeurIPS 2013 Regret Minimization for Branching Experts COLT 2013