online learning

Online Learning with Sleeping Experts and Feedback Graphs ICML 2019 Online Non-Additive Path Learning under Full and Partial Information ALT 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 Problem of Assigning PhD Grants IJCAI 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 Optimal Exploitation of Clustering and History Information in Multi-armed Bandit IJCAI 2019 Optimal Stochastic and Online Learning with Individual Iterates NeurIPS 2019 Pareto Optimal Streaming Unsupervised Classification ICML 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 Polynomial Cost of Adaptation for X-Armed Bandits NeurIPS 2019 Private Learning Implies Online Learning: An Efficient Reduction NeurIPS 2019 Projection Free Online Learning over Smooth Sets AISTATS 2019 Quantifying Uncertainty in Online Regression Forests JMLR 2019 Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics JMLR 2019 Real-Time Self-Adaptive Deep Stereo CVPR 2019 Reducing Exploration of Dying Arms in Mortal Bandits UAI 2019 Regret Bounds for Learning State Representations in Reinforcement Learning NeurIPS 2019 Robust Frequent Directions with Application in Online Learning JMLR 2019 Scalable Recollections for Continual Lifelong Learning AAAI 2019 Streaming Bayesian Inference for Crowdsourced Classification NeurIPS 2019