regret bound

Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond NeurIPS 2022 Online Frank-Wolfe with Arbitrary Delays NeurIPS 2022 Online Learning and Pricing for Network Revenue Management with Reusable Resources NeurIPS 2022 Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards ICML 2022 Online Learning for Unknown Partially Observable MDPs AISTATS 2022 Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications NeurIPS 2022 Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case JMLR 2022 Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback ICML 2022 Online No-regret Model-Based Meta RL for Personalized Navigation L4DC 2022 Online PAC-Bayes Learning NeurIPS 2022 On the Complexity of Adversarial Decision Making NeurIPS 2022 On the Expressivity of Markov Reward (Extended Abstract) IJCAI 2022 On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach NeurIPS 2022 On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs ICML 2022 Open Problem: Finite-Time Instance Dependent Optimality for Stochastic Online Learning with Feedback Graphs COLT 2022 Open Problem: Regret Bounds for Noise-Free Kernel-Based Bandits COLT 2022 Optimal Binary Classification Beyond Accuracy NeurIPS 2022 Optimal Comparator Adaptive Online Learning with Switching Cost NeurIPS 2022 Optimal Control with Learning on the Fly: System with Unknown Drift L4DC 2022 Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond AISTATS 2022 Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits AISTATS 2022 Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees NeurIPS 2022 Oracle-Efficient Online Learning for Smoothed Adversaries NeurIPS 2022 Parameter-free Regret in High Probability with Heavy Tails NeurIPS 2022 Pareto Optimal Model Selection in Linear Bandits AISTATS 2022