FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits

22 May 2024

Papers citing "FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits"

7 / 7 papers shown

Title
Distributed Differential Privacy in Multi-Armed Bandits Sayak Ray Chowdhury Xingyu Zhou 61 13 0 12 Jun 2022
Privacy Amplification via Shuffling for Linear Contextual Bandits Evrard Garcelon Kamalika Chaudhuri Vianney Perchet Matteo Pirotta FedML 72 18 0 11 Dec 2021
Private Reinforcement Learning with PAC and Regret Guarantees G. Vietri Borja Balle A. Krishnamurthy Zhiwei Steven Wu 32 63 0 18 Sep 2020
Differentially Private Assouad, Fano, and Le Cam Jayadev Acharya Ziteng Sun Huanyu Zhang FedML 41 58 0 14 Apr 2020
An Optimal Private Stochastic-MAB Algorithm Based on an Optimal Private Stopping Rule Touqir Sajed Or Sheffet 23 48 0 22 May 2019
Thompson Sampling for Contextual Bandits with Linear Payoffs Shipra Agrawal Navin Goyal 113 993 0 15 Sep 2012
The sparsity and bias of the Lasso selection in high-dimensional linear regression Cun-Hui Zhang Jian Huang 237 869 0 07 Aug 2008