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Mitigating Bias in Adaptive Data Gathering via Differential Privacy

Mitigating Bias in Adaptive Data Gathering via Differential Privacy

6 June 2018
Seth Neel
Aaron Roth
    FedML
ArXiv (abs)PDFHTML

Papers citing "Mitigating Bias in Adaptive Data Gathering via Differential Privacy"

16 / 16 papers shown
Title
Faster Rates for Private Adversarial Bandits
Faster Rates for Private Adversarial Bandits
Hilal Asi
Vinod Raman
Kunal Talwar
PICVFedML
65
0
0
27 May 2025
When Privacy Meets Partial Information: A Refined Analysis of
  Differentially Private Bandits
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits
Achraf Azize
D. Basu
111
23
0
06 Sep 2022
Dynamic Global Sensitivity for Differentially Private Contextual Bandits
Dynamic Global Sensitivity for Differentially Private Contextual Bandits
Huazheng Wang
Dave Zhao
Hongning Wang
68
5
0
30 Aug 2022
Designing Closed Human-in-the-loop Deferral Pipelines
Designing Closed Human-in-the-loop Deferral Pipelines
Vijay Keswani
Matthew Lease
K. Kenthapadi
OffRL
122
10
0
09 Feb 2022
Doubly Robust Interval Estimation for Optimal Policy Evaluation in
  Online Learning
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
Ye Shen
Hengrui Cai
Rui Song
OffRL
117
2
0
29 Oct 2021
Adaptive Data Debiasing through Bounded Exploration
Adaptive Data Debiasing through Bounded Exploration
Yifan Yang
Yang Liu
Parinaz Naghizadeh
FaML
88
7
0
25 Oct 2021
Debiasing Samples from Online Learning Using Bootstrap
Debiasing Samples from Online Learning Using Bootstrap
Ningyuan Chen
Xuefeng Gao
Yi Xiong
OffRLOnRL
52
4
0
31 Jul 2021
Adaptive Machine Unlearning
Adaptive Machine Unlearning
Varun Gupta
Christopher Jung
Seth Neel
Aaron Roth
Saeed Sharifi-Malvajerdi
Chris Waites
MU
71
184
0
08 Jun 2021
Online Multi-Armed Bandits with Adaptive Inference
Online Multi-Armed Bandits with Adaptive Inference
Maria Dimakopoulou
Zhimei Ren
Zhengyuan Zhou
85
36
0
25 Feb 2021
Privacy-Constrained Policies via Mutual Information Regularized Policy
  Gradients
Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients
Chris Cundy
Rishi Desai
Stefano Ermon
OffRL
127
4
0
30 Dec 2020
Private Reinforcement Learning with PAC and Regret Guarantees
Private Reinforcement Learning with PAC and Regret Guarantees
G. Vietri
Borja Balle
A. Krishnamurthy
Zhiwei Steven Wu
64
63
0
18 Sep 2020
Random Quadratic Forms with Dependence: Applications to Restricted
  Isometry and Beyond
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond
A. Banerjee
Qilong Gu
V. Sivakumar
Zhiwei Steven Wu
47
4
0
11 Oct 2019
A New Analysis of Differential Privacy's Generalization Guarantees
A New Analysis of Differential Privacy's Generalization Guarantees
Christopher Jung
Katrina Ligett
Seth Neel
Aaron Roth
Saeed Sharifi-Malvajerdi
Moshe Shenfeld
FedML
96
47
0
09 Sep 2019
On the bias, risk and consistency of sample means in multi-armed bandits
On the bias, risk and consistency of sample means in multi-armed bandits
Jaehyeok Shin
Aaditya Ramdas
Alessandro Rinaldo
95
36
0
02 Feb 2019
Crowdsourcing with Fairness, Diversity and Budget Constraints
Crowdsourcing with Fairness, Diversity and Budget Constraints
Naman Goel
Boi Faltings
FaML
85
20
0
31 Oct 2018
Differentially Private Contextual Linear Bandits
Differentially Private Contextual Linear Bandits
R. Shariff
Or Sheffet
87
120
0
28 Sep 2018
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