Locally Differentially Private (Contextual) Bandits Learning

Locally Differentially Private (Contextual) Bandits Learning

1 June 2020

Tianle Cai

Papers citing "Locally Differentially Private (Contextual) Bandits Learning"

16 / 16 papers shown

Title
Locally Private Nonparametric Contextual Multi-armed Bandits Yuheng Ma Feiyu Jiang Zifeng Zhao Hanfang Yang Y. Yu 49 0 0 11 Mar 2025
Local Differential Privacy for Sequential Decision Making in a Changing Environment Pratik Gajane 22 1 0 02 Jan 2023
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
Differentially Private Regret Minimization in Episodic Markov Decision Processes Sayak Ray Chowdhury Xingyu Zhou 29 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 60 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
Optimal Order Simple Regret for Gaussian Process Bandits Sattar Vakili N. Bouziani Sepehr Jalali A. Bernacchia Da-Shan Shiu 34 51 0 20 Aug 2021
Large Scale Private Learning via Low-rank Reparametrization Da Yu Huishuai Zhang Wei Chen Jian Yin Tie-Yan Liu 29 100 0 17 Jun 2021
Local Differential Privacy for Bayesian Optimization Xingyu Zhou Jian Tan 19 24 0 13 Oct 2020
Kernel-based methods for bandit convex optimization Sébastien Bubeck Ronen Eldan Y. Lee 84 164 0 11 Jul 2016