regret bound

On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games NeurIPS 2024 On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX AISTATS 2024 On Weak Regret Analysis for Dueling Bandits NeurIPS 2024 Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy COLT 2024 Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning COLT 2024 Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? COLT 2024 Optimal Algorithms for Online Convex Optimization with Adversarial Constraints NeurIPS 2024 Optimal Learning Policies for Differential Privacy in Multi-armed Bandits JMLR 2024 Optimal Multiclass U-Calibration Error and Beyond NeurIPS 2024 Optimal Regret Bounds for Collaborative Learning in Bandits ALT 2024 Optimistic Information Directed Sampling COLT 2024 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization JMLR 2024 Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes UAI 2024 Oracle Efficient Algorithms for Groupwise Regret ICLR 2024 Oracle-Efficient Hybrid Online Learning with Unknown Distribution COLT 2024 Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization AAAI 2024 Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning ICLR 2024 Piecewise-Stationary Bandits with Knapsacks NeurIPS 2024 PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024 Private Online Learning via Lazy Algorithms NeurIPS 2024 PRODuctive bandits: Importance Weighting No More NeurIPS 2024 Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo ICLR 2024 Provable local learning rule by expert aggregation for a Hawkes network AISTATS 2024 Provably Efficient Interactive-Grounded Learning with Personalized Reward NeurIPS 2024 Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback ICLR 2024