regret bound

Generalized Implicit Follow-The-Regularized-Leader ICML 2023 Generalized test utilities for long-tail performance in extreme multi-label classification NeurIPS 2023 Global Optimization with Parametric Function Approximation ICML 2023 Gradient-Variation Bound for Online Convex Optimization with Constraints AAAI 2023 Graph-Aided Online Multi-Kernel Learning JMLR 2023 Heavy-tailed linear bandit with Huber regression UAI 2023 Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes ICML 2023 Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback ICML 2023 Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms NeurIPS 2023 Improved Dynamic Regret for Online Frank-Wolfe COLT 2023 Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs ALT 2023 Improved Kernel Alignment Regret Bound for Online Kernel Learning AAAI 2023 Improved Online Learning Algorithms for CTR Prediction in Ad Auctions ICML 2023 Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation ICML 2023 Incentive-aware Contextual Pricing with Non-parametric Market Noise AISTATS 2023 Incentivized Communication for Federated Bandits NeurIPS 2023 Incentivizing Exploration with Linear Contexts and Combinatorial Actions ICML 2023 Infinite Action Contextual Bandits with Reusable Data Exhaust ICML 2023 Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory COLT 2023 Interpolating Classifiers Make Few Mistakes JMLR 2023 Kernelized Reinforcement Learning with Order Optimal Regret Bounds NeurIPS 2023 Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards NeurIPS 2023 Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning ICML 2023 Last Switch Dependent Bandits with Monotone Payoff Functions ICML 2023 Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition ICLR 2023