online learning

Streaming Principal Component Analysis From Incomplete Data JMLR 2019 Task-Free Continual Learning CVPR 2019 Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging NeurIPS 2019 Thresholding Bandit with Optimal Aggregate Regret NeurIPS 2019 Towards Incremental Learning of Word Embeddings Using Context Informativeness ACL 2019 Vortices Instead of Equilibria in MinMax Optimization: Chaos and Butterfly Effects of Online Learning in Zero-Sum Games COLT 2019 Acceleration through Optimistic No-Regret Dynamics NeurIPS 2018 Active DOP: A constituency treebank annotation tool with online learning COLING 2018 Adaptation to Easy Data in Prediction with Limited Advice NeurIPS 2018 Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits ICML 2018 Adaptive Learning with Unknown Information Flows NeurIPS 2018 Advancements in Dueling Bandits IJCAI 2018 An Online Learning Approach to Generative Adversarial Networks ICLR 2018 An Optimal Learning Algorithm for Online Unconstrained Submodular Maximization COLT 2018 Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018 Bandits with Delayed, Aggregated Anonymous Feedback ICML 2018 Black-Box Reductions for Parameter-free Online Learning in Banach Spaces COLT 2018 Community Exploration: From Offline Optimization to Online Learning NeurIPS 2018 Competing with Automata-based Expert Sequences AISTATS 2018 Constant Regret, Generalized Mixability, and Mirror Descent NeurIPS 2018 Contextual bandits with surrogate losses: Margin bounds and efficient algorithms NeurIPS 2018 Contextual Pricing for Lipschitz Buyers NeurIPS 2018 Convergence of Unregularized Online Learning Algorithms JMLR 2018 Convergence of Value Aggregation for Imitation Learning AISTATS 2018 Cost-aware Cascading Bandits IJCAI 2018