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regret analysis

73 papers

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Co-occurring keywords

regret bound (1918) multi-armed bandit (1091) online learning (1770) contextual bandit (379) thompson sampling (234) reinforcement learning (4122) ucb algorithm (44) online algorithm (444) stochastic gradient descent (1088) markov decision process (788)

Papers

Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback AAAI 2026
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control AAAI 2025
Online Quantile Regression JMLR 2025
Stochastic contextual bandits with graph feedback: from independence number to MAS number NIPS 2024
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods AISTATS 2024
Robust Neural Contextual Bandit against Adversarial Corruptions NIPS 2024
Reinforcement Learning with Lookahead Information NIPS 2024
Nonasymptotic regret analysis of adaptive linear quadratic control with model misspecification L4DC 2024
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model JMLR 2024
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024
Continuous Prediction with Experts' Advice JMLR 2024
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity AISTATS 2024
Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms IJCAI 2024
Regret Analysis of Bilateral Trade with a Smoothed Adversary JMLR 2024
Optimal Rates for Bandit Nonstochastic Control NIPS 2023
Learning to Rank under Multinomial Logit Choice JMLR 2023
Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants IJCAI 2023
Stochastic Gradient Succeeds for Bandits ICML 2023
On the Complexity of Representation Learning in Contextual Linear Bandits AISTATS 2023
A Unified Algorithm for Stochastic Path Problems ALT 2023
Parallel Online Clustering of Bandits via Hedonic Game ICML 2023
Anytime-Competitive Reinforcement Learning with Policy Prior NIPS 2023
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity NIPS 2022
On Kernelized Multi-Armed Bandits with Constraints NIPS 2022
Thompson Sampling for Bandit Learning in Matching Markets IJCAI 2022