Generalized Linear Bandits with Local Differential Privacy

7 June 2021

Papers citing "Generalized Linear Bandits with Local Differential Privacy"

10 / 10 papers shown

Title
Private Selection with Heterogeneous Sensitivities Daniela Antonova Allegra Laro Audra McMillan Lorenz Wolf 145 0 0 10 Jan 2025
Multi-Armed Bandits with Local Differential Privacy Wenbo Ren Xingyu Zhou Jia Liu Ness B. Shroff 26 48 0 06 Jul 2020
Fisher information under local differential privacy L. P. Barnes Wei-Ning Chen Ayfer Özgür FedML 67 48 0 21 May 2020
Sequential Batch Learning in Finite-Action Linear Contextual Bandits Yanjun Han Zhengqing Zhou Zhengyuan Zhou Jose H. Blanchet Peter Glynn Yinyu Ye OffRL 77 71 0 14 Apr 2020
Differentially Private Contextual Linear Bandits R. Shariff Or Sheffet 64 120 0 28 Sep 2018
The Externalities of Exploration and How Data Diversity Helps Exploitation Manish Raghavan Aleksandrs Slivkins Jennifer Wortman Vaughan Zhiwei Steven Wu 202 53 0 01 Jun 2018
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling C. Riquelme George Tucker Jasper Snoek BDL 71 366 0 26 Feb 2018
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 55 686 0 05 Dec 2017
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 96 1,992 0 25 Jul 2014
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning Benjamin I. P. Rubinstein Peter L. Bartlett Ling Huang N. Taft 104 295 0 30 Nov 2009