Online Learning

Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning ICML 2021 Network Inference and Influence Maximization from Samples ICML 2021 Non-stationary Reinforcement Learning without Prior Knowledge: an Optimal Black-box Approach COLT 2021 No-regret Algorithms for Capturing Events in Poisson Point Processes ICML 2021 Not So Fast, Classifier – Accuracy and Entropy Reduction in Incremental Intent Classification EMNLP 2021 Online Active Learning with Surrogate Loss Functions NeurIPS 2021 Online Continual Learning With Natural Distribution Shifts: An Empirical Study With Visual Data ICCV 2021 Online Control of Unknown Time-Varying Dynamical Systems NeurIPS 2021 Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games ICML 2021 Online Learning from Optimal Actions COLT 2021 Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort ACL 2021 Online Learning of Action Models for PDDL Planning IJCAI 2021 Online Learning Of Neural Computations From Sparse Temporal Feedback NeurIPS 2021 Online Learning with Optimism and Delay ICML 2021 Online Markov Decision Processes with Aggregate Bandit Feedback COLT 2021 Online Meta-Learning via Learning with Layer-Distributed Memory NeurIPS 2021 Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence ICML 2021 Online Selective Classification with Limited Feedback NeurIPS 2021 Online Variational Filtering and Parameter Learning NeurIPS 2021 On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems AAAI 2021 Optimal Dynamic Regret in Exp-Concave Online Learning COLT 2021 Parameter-Free Multi-Armed Bandit Algorithms with Hybrid Data-Dependent Regret Bounds COLT 2021 Parametric Graph for Unimodal Ranking Bandit ICML 2021 Prediction against a limited adversary JMLR 2021 Projection-free Decentralized Online Learning for Submodular Maximization over Time-Varying Networks JMLR 2021