{"total":21,"rows":[{"id":"2209.02570","title":"When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits","created":"2022-09-06","cited_by_count":28,"area":null},{"id":"2202.05567","title":"Shuffle Private Linear Contextual Bandits","created":"2022-02-11","cited_by_count":27,"area":null},{"id":"2112.10599","title":"Differentially Private Regret Minimization in Episodic Markov Decision Processes","created":"2021-12-20","cited_by_count":23,"area":null},{"id":"2201.07052","title":"Differentially Private Reinforcement Learning with Linear Function Approximation","created":"2022-01-18","cited_by_count":22,"area":null},{"id":"2206.05772","title":"Distributed Differential Privacy in Multi-Armed Bandits","created":"2022-06-12","cited_by_count":14,"area":null},{"id":"2402.01096","title":"Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance","created":"2024-02-02","cited_by_count":14,"area":null},{"id":"2106.13513","title":"Littlestone Classes are Privately Online Learnable","created":"2021-06-25","cited_by_count":10,"area":null},{"id":"2205.14174","title":"Private and Byzantine-Proof Cooperative Decision-Making","created":"2022-05-27","cited_by_count":10,"area":null},{"id":"2309.00557","title":"Concentrated Differential Privacy for Bandits","created":"2023-09-01","cited_by_count":10,"area":null},{"id":"2202.01292","title":"Improved Regret for Differentially Private Exploration in Linear MDP","created":"2022-02-02","cited_by_count":8,"area":null},{"id":"2108.11563","title":"Adaptive Control of Differentially Private Linear Quadratic Systems","created":"2021-08-26","cited_by_count":7,"area":null},{"id":"2208.14555","title":"Dynamic Global Sensitivity for Differentially Private Contextual Bandits","created":"2022-08-30","cited_by_count":5,"area":null},{"id":"2301.12535","title":"Concurrent Shuffle Differential Privacy Under Continual Observation","created":"2023-01-29","cited_by_count":2,"area":null},{"id":"2105.11126","title":"Cascading Bandit under Differential Privacy","created":"2021-05-24","cited_by_count":1,"area":null},{"id":"2308.09902","title":"DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning","created":"2023-08-19","cited_by_count":1,"area":null},{"id":"2405.14038","title":"FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits","created":"2024-05-22","cited_by_count":1,"area":null},{"id":"2502.10997","title":"Improved Regret in Stochastic Decision-Theoretic Online Learning under Differential Privacy","created":"2025-02-16","cited_by_count":1,"area":null},{"id":"2505.21790","title":"Faster Rates for Private Adversarial Bandits","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2605.05266","title":"Differential Privacy in the Extensive-Form Bandit Problem","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2301.00561","title":"Local Differential Privacy for Sequential Decision Making in a Changing Environment","created":"2023-01-02","cited_by_count":0,"area":null},{"id":"2505.05613","title":"Optimal Regret of Bernoulli Bandits under Global Differential Privacy","created":"2025-05-08","cited_by_count":0,"area":null}],"next_cursor":null}