online learning

Starting Small - Learning with Adaptive Sample Sizes ICML 2016 STCT: Sequentially Training Convolutional Networks for Visual Tracking CVPR 2016 Stochastic Online AUC Maximization NeurIPS 2016 The Extended Littlestone’s Dimension for Learning with Mistakes and Abstentions COLT 2016 The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks ICML 2016 The Multi-fidelity Multi-armed Bandit NeurIPS 2016 Threshold Bandits, With and Without Censored Feedback NeurIPS 2016 Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient ICML 2016 Tracking the Best Expert in Non-stationary Stochastic Environments NeurIPS 2016 Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams ICML 2015 A Chaining Algorithm for Online Nonparametric Regression COLT 2015 Achieving All with No Parameters: AdaNormalHedge COLT 2015 Adaptive Hashing for Fast Similarity Search ICCV 2015 Adaptive Online Learning NeurIPS 2015 A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NeurIPS 2015 An Online Learning Algorithm for Bilinear Models ICML 2015 A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks NeurIPS 2015 Bandit Convex Optimization: \sqrtT Regret in One Dimension COLT 2015 Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff NeurIPS 2015 BodyPrint: Pose Invariant 3D Shape Matching of Human Bodies ICCV 2015 Budgeted Bandit Problems with Continuous Random Costs ACML 2015 Cheap Bandits ICML 2015 Combinatorial Cascading Bandits NeurIPS 2015 Copeland Dueling Bandits NeurIPS 2015 Efficient Learning in Large-Scale Combinatorial Semi-Bandits ICML 2015