regret bound

Multi-task Representation Learning with Stochastic Linear Bandits AISTATS 2023 Nash Regret Guarantees for Linear Bandits NeurIPS 2023 Nearest Neighbour with Bandit Feedback NeurIPS 2023 Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path ICML 2023 Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes ICML 2023 Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression ICML 2023 Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests ICML 2023 Near-Optimal Adversarial Reinforcement Learning with Switching Costs ICLR 2023 Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime ICML 2023 Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints ICML 2023 Near-Optimal Differentially Private Reinforcement Learning AISTATS 2023 Noise-Adaptive Thompson Sampling for Linear Contextual Bandits NeurIPS 2023 Non-Convex Bilevel Optimization with Time-Varying Objective Functions NeurIPS 2023 Non-Stationary Bandits with Auto-Regressive Temporal Dependency NeurIPS 2023 Nonstochastic Contextual Combinatorial Bandits AISTATS 2023 No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution AISTATS 2023 No-Regret Linear Bandits beyond Realizability UAI 2023 No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions NeurIPS 2023 On-Demand Communication for Asynchronous Multi-Agent Bandits AISTATS 2023 One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits AISTATS 2023 On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation AAAI 2023 Online Ad Procurement in Non-stationary Autobidding Worlds NeurIPS 2023 Online Clustering of Bandits with Misspecified User Models NeurIPS 2023 Online Control for Meta-optimization NeurIPS 2023 Online Convex Optimization with Unbounded Memory NeurIPS 2023