regret bound

On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence NeurIPS 2023 On the Complexity of Representation Learning in Contextual Linear Bandits AISTATS 2023 On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits ICML 2023 On the Minimax Regret for Online Learning with Feedback Graphs NeurIPS 2023 On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness ICML 2023 Open Problem: Learning sparse linear concepts by priming the features COLT 2023 Optimal Algorithms for Latent Bandits with Cluster Structure AISTATS 2023 Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles AISTATS 2023 Optimal cross-learning for contextual bandits with unknown context distributions NeurIPS 2023 Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits ICML 2023 Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023 Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension COLT 2023 Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion ICML 2023 Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework NeurIPS 2023 Optimism and Delays in Episodic Reinforcement Learning AISTATS 2023 Optimism in Face of a Context:Regret Guarantees for Stochastic Contextual MDP AAAI 2023 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization ICML 2023 Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023 Optimistic Whittle Index Policy: Online Learning for Restless Bandits AAAI 2023 Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making COLT 2023 Pareto Regret Analyses in Multi-objective Multi-armed Bandit ICML 2023 PASTA: Pessimistic Assortment Optimization ICML 2023 Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs ICLR 2023 Piecewise Stationary Bandits under Risk Criteria AISTATS 2023 Posterior Sampling for Competitive RL: Function Approximation and Partial Observation NeurIPS 2023