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2106.03365
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Generalized Linear Bandits with Local Differential Privacy
Neural Information Processing Systems (NeurIPS), 2021
7 June 2021
Yuxuan Han
Zhipeng Liang
Yang Wang
Jiheng Zhang
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Papers citing
"Generalized Linear Bandits with Local Differential Privacy"
25 / 25 papers shown
Beyond ATE: Multi-Criteria Design for A/B Testing
Jiachun Li
Kaining Shi
David Simchi-Levi
153
0
0
06 Sep 2025
Locally Differentially Private Thresholding Bandits
Annalisa Barbara
Joseph Lazzaro
Ciara Pike-Burke
FedML
174
0
0
30 Jul 2025
KL-regularization Itself is Differentially Private in Bandits and RLHF
Yizhou Zhang
Kishan Panaganti
Laixi Shi
Juba Ziani
Adam Wierman
307
1
0
23 May 2025
Scalable and Interpretable Contextual Bandits: A Literature Review and Retail Offer Prototype
Nikola Tankovic
Robert Sajina
297
0
0
22 May 2025
The Safety-Privacy Tradeoff in Linear Bandits
International Symposium on Information Theory (ISIT), 2025
Arghavan Zibaie
Spencer Hutchinson
Ramtin Pedarsani
Mahnoosh Alizadeh
232
0
0
23 Apr 2025
Locally Private Nonparametric Contextual Multi-armed Bandits
Hanfang Yang
Feiyu Jiang
Zifeng Zhao
Yuheng Ma
Y. Yu
497
0
0
11 Mar 2025
Beyond Covariance Matrix: The Statistical Complexity of Private Linear Regression
Fan Chen
Jiachun Li
Alexander Rakhlin
D. Simchi-Levi
459
2
0
18 Feb 2025
Differentially Private Kernelized Contextual Bandits
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Nikola Pavlovic
Sudeep Salgia
Qing Zhao
313
3
0
13 Jan 2025
Private Selection with Heterogeneous Sensitivities
Daniela Antonova
Allegra Laro
Audra McMillan
Lorenz Wolf
294
0
0
10 Jan 2025
FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits
Sunrit Chakraborty
Saptarshi Roy
Debabrota Basu
FedML
509
1
0
22 May 2024
On the Optimal Regret of Locally Private Linear Contextual Bandit
Jiachun Li
David Simchi-Levi
Yining Wang
241
2
0
15 Apr 2024
Differentially Private High Dimensional Bandits
Apurv Shukla
250
0
0
06 Feb 2024
Privacy Preserving Adaptive Experiment Design
International Conference on Machine Learning (ICML), 2024
Jiachun Li
Kaining Shi
David Simchi-Levi
527
1
0
16 Jan 2024
Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards
Neural Information Processing Systems (NeurIPS), 2023
Bo Xue
Yimu Wang
Yuanyu Wan
Jinfeng Yi
Lijun Zhang
268
12
0
28 Oct 2023
Federated Linear Contextual Bandits with User-level Differential Privacy
International Conference on Machine Learning (ICML), 2023
Ruiquan Huang
Huanyu Zhang
Luca Melis
Milan Shen
Meisam Hajzinia
J. Yang
FedML
368
17
0
08 Jun 2023
Robust and differentially private stochastic linear bandits
Vasileios Charisopoulos
Hossein Esfandiari
Vahab Mirrokni
FedML
265
1
0
23 Apr 2023
Multi-channel Autobidding with Budget and ROI Constraints
International Conference on Machine Learning (ICML), 2023
Yuan Deng
Negin Golrezaei
Patrick Jaillet
Jason Cheuk Nam Liang
Vahab Mirrokni
437
33
0
03 Feb 2023
Concurrent Shuffle Differential Privacy Under Continual Observation
International Conference on Machine Learning (ICML), 2023
J. Tenenbaum
Haim Kaplan
Yishay Mansour
Uri Stemmer
FedML
297
3
0
29 Jan 2023
Vertical Federated Linear Contextual Bandits
Zeyu Cao
Zhipeng Liang
Shu Zhen Zhang
Hang Li
Ouyang Wen
Yu Rong
P. Zhao
Bing Wu
FedML
228
1
0
20 Oct 2022
Dynamic Global Sensitivity for Differentially Private Contextual Bandits
ACM Conference on Recommender Systems (RecSys), 2022
Huazheng Wang
Dave Zhao
Hongning Wang
312
6
0
30 Aug 2022
Differentially Private Stochastic Linear Bandits: (Almost) for Free
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Osama A. Hanna
Antonious M. Girgis
Christina Fragouli
Suhas Diggavi
FedML
399
21
0
07 Jul 2022
On Private Online Convex Optimization: Optimal Algorithms in
ℓ
p
\ell_p
ℓ
p
-Geometry and High Dimensional Contextual Bandits
Yuxuan Han
Zhicong Liang
Zhipeng Liang
Yang Wang
Xingtai Lv
Jiheng Zhang
234
1
0
16 Jun 2022
Shuffle Private Linear Contextual Bandits
International Conference on Machine Learning (ICML), 2022
Sayak Ray Chowdhury
Xingyu Zhou
FedML
370
29
0
11 Feb 2022
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms
ACM Conference on Economics and Computation (EC), 2022
Alireza Fallah
A. Makhdoumi
Azarakhsh Malekian
Asuman Ozdaglar
FedML
465
50
0
10 Jan 2022
Differential Privacy in Personalized Pricing with Nonparametric Demand Models
Operational Research (OR), 2021
Xi Chen
Sentao Miao
Yining Wang
213
38
0
10 Sep 2021
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