online learning

Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NeurIPS 2015 Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees ICML 2015 Exp-Concavity of Proper Composite Losses COLT 2015 Fast Convergence of Regularized Learning in Games NeurIPS 2015 Fast Rates in Statistical and Online Learning JMLR 2015 Following the Perturbed Leader for Online Structured Learning ICML 2015 Generalized Mixability via Entropic Duality COLT 2015 Global Convergence of Online Limited Memory BFGS JMLR 2015 Label Consistent Quadratic Surrogate Model for Visual Saliency Prediction CVPR 2015 Label optimal regret bounds for online local learning COLT 2015 Learning Sparse Low-Threshold Linear Classifiers JMLR 2015 Learning Theory and Algorithms for Forecasting Non-stationary Time Series NeurIPS 2015 Linear Multi-Resource Allocation with Semi-Bandit Feedback NeurIPS 2015 Logarithmic Time Online Multiclass prediction NeurIPS 2015 Minimax Fixed-Design Linear Regression COLT 2015 Minimax Time Series Prediction NeurIPS 2015 Multiclass Learnability and the ERM Principle JMLR 2015 Non-Asymptotic Analysis of a New Bandit Algorithm for Semi-Bounded Rewards JMLR 2015 Online F-Measure Optimization NeurIPS 2015 Online Gradient Boosting NeurIPS 2015 On-Line Learning Algorithms for Path Experts with Non-Additive Losses COLT 2015 Online Learning for Adversaries with Memory: Price of Past Mistakes NeurIPS 2015 Online Learning of Eigenvectors ICML 2015 Online Learning with Adversarial Delays NeurIPS 2015 Online Learning with Feedback Graphs: Beyond Bandits COLT 2015