Differentially Private High Dimensional Bandits

6 February 2024

Papers citing "Differentially Private High Dimensional Bandits"

13 / 13 papers shown

Title
Differentially Private Stochastic Linear Bandits: (Almost) for Free Osama A. Hanna Antonious M. Girgis Christina Fragouli Suhas Diggavi FedML 75 18 0 07 Jul 2022
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds T. Tony Cai Yichen Wang Linjun Zhang FedML 55 21 0 08 Nov 2020
Multi-Armed Bandits with Local Differential Privacy Wenbo Ren Xingyu Zhou Jia Liu Ness B. Shroff 29 48 0 06 Jul 2020
Gamification of Pure Exploration for Linear Bandits Rémy Degenne Pierre Ménard Xuedong Shang Michal Valko 69 80 0 02 Jul 2020
Locally Differentially Private (Contextual) Bandits Learning Kai Zheng Tianle Cai Weiran Huang Zhenguo Li Liwei Wang 72 66 0 01 Jun 2020
Differentially Private Contextual Linear Bandits R. Shariff Or Sheffet 73 120 0 28 Sep 2018
Local, Private, Efficient Protocols for Succinct Histograms Raef Bassily Adam D. Smith FedML 62 458 0 18 Apr 2015
Private Matchings and Allocations Justin Hsu Zhiyi Huang Aaron Roth Tim Roughgarden Zhiwei Steven Wu 74 97 0 12 Nov 2013
Asymptotically Truthful Equilibrium Selection in Large Congestion Games Ryan M. Rogers Aaron Roth 95 51 0 11 Nov 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs Shipra Agrawal Navin Goyal 195 1,004 0 15 Sep 2012
Mechanism Design in Large Games: Incentives and Privacy Michael Kearns Mallesh M. Pai Aaron Roth Jonathan R. Ullman 146 184 0 17 Jul 2012
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit Alexandra Carpentier Rémi Munos 82 102 0 18 May 2012
Fast learning rates for plug-in classifiers Jean-Yves Audibert Alexandre B. Tsybakov 575 465 0 17 Aug 2007