Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2501.05309
Cited By
Private Selection with Heterogeneous Sensitivities
10 January 2025
Daniela Antonova
Allegra Laro
Audra McMillan
Lorenz Wolf
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Private Selection with Heterogeneous Sensitivities"
15 / 15 papers shown
Title
Randomized algorithms for precise measurement of differentially-private, personalized recommendations
Allegra Laro
Yanqing Chen
Hao He
Babak Aghazadeh
46
1
0
07 Aug 2023
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems
Dominik Kowald
Emanuel Lacić
21
21
0
01 Mar 2022
Generalized Linear Bandits with Local Differential Privacy
Yuxuan Han
Zhipeng Liang
Yang Wang
Jiheng Zhang
28
32
0
07 Jun 2021
The Permute-and-Flip Mechanism is Identical to Report-Noisy-Max with Exponential Noise
Zeyu Ding
Daniel Kifer
S. Saghaian
Thomas Steinke
Yuxin Wang
Yingtai Xiao
Qiang Yan
26
26
0
15 May 2021
Permute-and-Flip: A new mechanism for differentially private selection
Ryan McKenna
Daniel Sheldon
128
49
0
23 Oct 2020
Local Differential Privacy for Regret Minimization in Reinforcement Learning
Evrard Garcelon
Vianney Perchet
Ciara Pike-Burke
Matteo Pirotta
55
35
0
15 Oct 2020
Locally Differentially Private (Contextual) Bandits Learning
Kai Zheng
Tianle Cai
Weiran Huang
Zhenguo Li
Liwei Wang
39
65
0
01 Jun 2020
Embarrassingly Shallow Autoencoders for Sparse Data
Harald Steck
114
249
0
08 May 2019
Private Selection from Private Candidates
Jingcheng Liu
Kunal Talwar
34
130
0
19 Nov 2018
Differentially Private Contextual Linear Bandits
R. Shariff
Or Sheffet
41
119
0
28 Sep 2018
A Contextual Bandit Bake-off
A. Bietti
Alekh Agarwal
John Langford
201
104
0
12 Feb 2018
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
175
6,069
0
01 Jul 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
246
17,328
0
17 Feb 2016
Efficient Lipschitz Extensions for High-Dimensional Graph Statistics and Node Private Degree Distributions
Sofya Raskhodnikova
Adam D. Smith
32
41
0
29 Apr 2015
The Large Margin Mechanism for Differentially Private Maximization
Kamalika Chaudhuri
Daniel J. Hsu
Shuang Song
64
38
0
07 Sep 2014
1