minimax regret

The Real Price of Bandit Information in Multiclass Classification COLT 2024 Asymptotic Instance-Optimal Algorithms for Interactive Decision Making ICLR 2023 CLUTR: Curriculum Learning via Unsupervised Task Representation Learning ICML 2023 Empirical Bayes via ERM and Rademacher complexities: the Poisson model COLT 2023 MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning ICLR 2023 Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR ICML 2023 Online Learning with Feedback Graphs: The True Shape of Regret ICML 2023 On the Minimax Regret for Online Learning with Feedback Graphs NeurIPS 2023 Repeated Bilateral Trade Against a Smoothed Adversary COLT 2023 Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program AAAI 2023 The Sample Complexity of Approximate Rejection Sampling With Applications to Smoothed Online Learning COLT 2023 Understanding the Role of Feedback in Online Learning with Switching Costs ICML 2023 Variance-Aware Sparse Linear Bandits ICLR 2023 Grounding Aleatoric Uncertainty for Unsupervised Environment Design NeurIPS 2022 Maillard Sampling: Boltzmann Exploration Done Optimally AISTATS 2022 Minimax Regret for Cascading Bandits NeurIPS 2022 Minimax Regret for Partial Monitoring: Infinite Outcomes and Rustichini’s Regret COLT 2022 Minimax Regret on Patterns Using Kullback-Leibler Divergence Covering COLT 2022 Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm NeurIPS 2022 Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning UAI 2022 Return of the bias: Almost minimax optimal high probability bounds for adversarial linear bandits COLT 2022 Smoothed Online Learning is as Easy as Statistical Learning COLT 2022 Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise AISTATS 2022 Continuum-Armed Bandits: A Function Space Perspective AISTATS 2021 Minimax Regret for Stochastic Shortest Path NeurIPS 2021