bandit learning

Competing Bandits in Matching Markets via Super Stability ICML 2025 ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM EMNLP 2025 Improved Regret Bounds for Online Fair Division with Bandit Learning AAAI 2025 Learning-Augmented Algorithms for MTS with Bandit Access to Multiple Predictors ICML 2025 On the Hardness of Bandit Learning COLT 2025 Fast Rates for Bandit PAC Multiclass Classification NeurIPS 2024 Improved Analysis for Bandit Learning in Matching Markets NeurIPS 2024 Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility AAAI 2024 Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints ICML 2024 Exponential Smoothing for Off-Policy Learning ICML 2023 Multi-Action Dialog Policy Learning from Logged User Feedback AAAI 2023 Quantifying the Cost of Learning in Queueing Systems NeurIPS 2023 Scalable and Robust Self-Learning for Skill Routing in Large-Scale Conversational AI Systems NAACL 2022 Bandit Learning in Decentralized Matching Markets JMLR 2021 Matroids, Matchings, and Fairness AISTATS 2019 Bandit Learning in Concave N-Person Games NeurIPS 2018 Can Neural Machine Translation be Improved with User Feedback? NAACL 2018 Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning ACL 2018 Bandit Structured Prediction for Neural Sequence-to-Sequence Learning ACL 2017 Crowd Learning: Improving Online Decision Making Using Crowdsourced Data IJCAI 2017 Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback EMNLP 2017 The price of bandit information in multiclass online classification COLT 2013