Locally Differentially Private (Contextual) Bandits Learning

1 June 2020

Tianle Cai

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

22 / 22 papers shown

Title
Private Selection with Heterogeneous Sensitivities Daniela Antonova Allegra Laro Audra McMillan Lorenz Wolf 102 0 0 10 Jan 2025
Introduction to Online Convex Optimization Elad Hazan OffRL 108 1,922 0 07 Sep 2019
Differential Privacy for Multi-armed Bandits: What Is It and What Is Its Cost? D. Basu Christos Dimitrakakis Aristide C. Y. Tossou 46 44 0 29 May 2019
An Optimal Private Stochastic-MAB Algorithm Based on an Optimal Private Stopping Rule Touqir Sajed Or Sheffet 35 48 0 22 May 2019
Differentially Private Contextual Linear Bandits R. Shariff Or Sheffet 43 119 0 28 Sep 2018
Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications (Extended Version) Weiran Huang Jungseul Ok Liang-Sheng Li Wei Chen 89 61 0 04 May 2018
Empirical Risk Minimization in Non-interactive Local Differential Privacy: Efficiency and High Dimensional Case Di Wang Marco Gaboardi Jinhui Xu 64 61 0 12 Feb 2018
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible Kai Zheng Wenlong Mou Liwei Wang 75 41 0 11 Jun 2017
Scalable Generalized Linear Bandits: Online Computation and Hashing Kwang-Sung Jun Aniruddha Bhargava Robert D. Nowak Rebecca Willett 54 124 0 01 Jun 2017
The Price of Differential Privacy For Online Learning Naman Agarwal Karan Singh FedML 120 96 0 27 Jan 2017
Achieving Privacy in the Adversarial Multi-Armed Bandit Aristide C. Y. Tossou Christos Dimitrakakis 41 56 0 16 Jan 2017
Kernel-based methods for bandit convex optimization Sébastien Bubeck Ronen Eldan Y. Lee 296 165 0 11 Jul 2016
Algorithms for Differentially Private Multi-Armed Bandits Aristide C. Y. Tossou Christos Dimitrakakis FedML 51 111 0 27 Nov 2015
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models E. Kaufmann Olivier Cappé Aurélien Garivier 140 1,021 0 16 Jul 2014
lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits Kevin Jamieson Matthew Malloy Robert D. Nowak Sébastien Bubeck 82 411 0 27 Dec 2013
Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation John C. Duchi Michael I. Jordan Martin J. Wainwright 62 147 0 26 May 2013
On the Complexity of Bandit and Derivative-Free Stochastic Convex Optimization Ohad Shamir 251 191 0 11 Sep 2012
Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret R. Arora O. Dekel Ambuj Tewari OffRL 63 194 0 27 Jun 2012
Stochastic convex optimization with bandit feedback Alekh Agarwal Dean Phillips Foster Daniel J. Hsu Sham Kakade Alexander Rakhlin 133 239 0 08 Jul 2011
The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond Aurélien Garivier Olivier Cappé 128 613 0 12 Feb 2011
A Contextual-Bandit Approach to Personalized News Article Recommendation Lihong Li Wei Chu John Langford Robert Schapire 317 2,935 0 28 Feb 2010
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 101 1,459 0 06 Mar 2008