regret bound

The price of unfairness in linear bandits with biased feedback NeurIPS 2022 Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control COLT 2022 Thompson Sampling with a Mixture Prior AISTATS 2022 Thresholded Lasso Bandit ICML 2022 Top K Ranking for Multi-Armed Bandit with Noisy Evaluations AISTATS 2022 Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise AISTATS 2022 Towards General Function Approximation in Zero-Sum Markov Games ICLR 2022 Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information COLT 2022 Tracking Most Significant Arm Switches in Bandits COLT 2022 Trading Off Resource Budgets For Improved Regret Bounds NeurIPS 2022 Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games NeurIPS 2022 Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration NeurIPS 2022 Understanding the Eluder Dimension NeurIPS 2022 UniRank: Unimodal Bandit Algorithms for Online Ranking ICML 2022 Universal and data-adaptive algorithms for model selection in linear contextual bandits ICML 2022 Uplifting Bandits NeurIPS 2022 Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning ACML 2022 Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences ICML 2022 When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits NeurIPS 2022 A Biased Graph Neural Network Sampler with Near-Optimal Regret NeurIPS 2021 Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning NeurIPS 2021 Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously ICML 2021 A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms NeurIPS 2021 Adapting to Delays and Data in Adversarial Multi-Armed Bandits ICML 2021 Adapting to misspecification in contextual bandits with offline regression oracles ICML 2021