Differentially Private Contextual Linear Bandits

28 September 2018

Papers citing "Differentially Private Contextual Linear Bandits"

27 / 27 papers shown

Title
Towards Optimal Differentially Private Regret Bounds in Linear MDPs Sharan Sahu 60 0 0 12 Apr 2025
Locally Private Nonparametric Contextual Multi-armed Bandits Yuheng Ma Feiyu Jiang Zifeng Zhao Hanfang Yang Y. Yu 49 0 0 11 Mar 2025
Differentially Private Reinforcement Learning with Self-Play Dan Qiao Yu Wang 38 0 0 11 Apr 2024
Replicability is Asymptotically Free in Multi-armed Bandits Junpei Komiyama Shinji Ito Yuichi Yoshida Souta Koshino 35 1 0 12 Feb 2024
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence Achraf Azize Marc Jourdan Aymen Al Marjani D. Basu 44 3 0 05 Sep 2023
Concentrated Differential Privacy for Bandits Achraf Azize D. Basu 31 4 0 01 Sep 2023
Anonymous Bandits for Multi-User Systems Hossein Esfandiari Vahab Mirrokni Jon Schneider PICV 21 0 0 21 Oct 2022
Vertical Federated Linear Contextual Bandits Zeyu Cao Zhipeng Liang Shu Zhen Zhang Hang Li Ouyang Wen Yu Rong P. Zhao Bing Wu FedML 27 0 0 20 Oct 2022
Federated Online Clustering of Bandits Xutong Liu Haoruo Zhao Tong Yu Shuai Li John C. S. Lui FedML 29 14 0 31 Aug 2022
Differentially Private Linear Bandits with Partial Distributed Feedback Fengjiao Li Xingyu Zhou Bo Ji FedML 34 13 0 12 Jul 2022
Differentially Private Stochastic Linear Bandits: (Almost) for Free Osama A. Hanna Antonious M. Girgis Christina Fragouli Suhas Diggavi FedML 27 18 0 07 Jul 2022
Distributed Differential Privacy in Multi-Armed Bandits Sayak Ray Chowdhury Xingyu Zhou 30 12 0 12 Jun 2022
Offline Reinforcement Learning with Differential Privacy Dan Qiao Yu Wang OffRL 41 23 0 02 Jun 2022
Private and Byzantine-Proof Cooperative Decision-Making Abhimanyu Dubey Alex Pentland 19 24 0 27 May 2022
Byzantine-Robust Federated Linear Bandits Ali Jadbabaie Haochuan Li Jian Qian Yi Tian FedML 26 12 0 03 Apr 2022
Improved Regret for Differentially Private Exploration in Linear MDP Dung Daniel Ngo G. Vietri Zhiwei Steven Wu 27 8 0 02 Feb 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes Sayak Ray Chowdhury Xingyu Zhou 26 21 0 20 Dec 2021
Privacy Amplification via Shuffling for Linear Contextual Bandits Evrard Garcelon Kamalika Chaudhuri Vianney Perchet Matteo Pirotta FedML 37 18 0 11 Dec 2021
Differentially Private Exploration in Reinforcement Learning with Linear Representation Paul Luyo Evrard Garcelon A. Lazaric Matteo Pirotta 57 11 0 02 Dec 2021
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes Chonghua Liao Jiafan He Quanquan Gu 27 17 0 19 Oct 2021
Cascading Bandit under Differential Privacy Kun Wang Jing Dong Baoxiang Wang Shuai Li Shuo Shao 27 1 0 24 May 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization Abhimanyu Dubey 22 13 0 24 Feb 2021
Differentially-Private Federated Linear Bandits Abhimanyu Dubey Alex Pentland FedML 32 115 0 22 Oct 2020
Private Reinforcement Learning with PAC and Regret Guarantees G. Vietri Borja Balle A. Krishnamurthy Zhiwei Steven Wu 23 59 0 18 Sep 2020
Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost? D. Basu Christos Dimitrakakis Aristide C. Y. Tossou 14 43 0 29 May 2019
Privacy-preserving Q-Learning with Functional Noise in Continuous State Spaces Baoxiang Wang N. Hegde 11 64 0 30 Jan 2019
Mechanism Design in Large Games: Incentives and Privacy Michael Kearns Mallesh M. Pai Aaron Roth Jonathan R. Ullman 90 182 0 17 Jul 2012