Online Learning

Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis NeurIPS 2019 Online Prediction of Switching Graph Labelings with Cluster Specialists NeurIPS 2019 Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function NeurIPS 2019 Online-Within-Online Meta-Learning NeurIPS 2019 On the optimality of the Hedge algorithm in the stochastic regime JMLR 2019 On the Regret Minimization of Nonconvex Online Gradient Ascent for Online PCA COLT 2019 Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams ICLR 2019 Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback NeurIPS 2019 Parsimonious Online Learning with Kernels via Sparse Projections in Function Space JMLR 2019 Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach AAAI 2019 Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints NeurIPS 2019 Polynomial Cost of Adaptation for X-Armed Bandits NeurIPS 2019 Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach AAAI 2019 Private Learning Implies Online Learning: An Efficient Reduction NeurIPS 2019 Problem-dependent Regret Bounds for Online Learning with Feedback Graphs UAI 2019 Quantifying Uncertainty in Online Regression Forests JMLR 2019 Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics JMLR 2019 Reducing Exploration of Dying Arms in Mortal Bandits UAI 2019 Secretary Ranking with Minimal Inversions NeurIPS 2019 Sequential Experimental Design for Transductive Linear Bandits NeurIPS 2019 Stochastic Gradient Trees ACML 2019 Streaming Bayesian Inference for Crowdsourced Classification NeurIPS 2019 Streaming Principal Component Analysis From Incomplete Data JMLR 2019 Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging NeurIPS 2019 Thresholding Bandit with Optimal Aggregate Regret NeurIPS 2019