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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
ArXivPDFHTML

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

18 / 18 papers shown
Title
Calibrating Noise to Variance in Adaptive Data Analysis
Calibrating Noise to Variance in Adaptive Data Analysis
Vitaly Feldman
Thomas Steinke
63
49
0
19 Dec 2017
Accurate Inference for Adaptive Linear Models
Accurate Inference for Adaptive Linear Models
Y. Deshpande
Lester W. Mackey
Vasilis Syrgkanis
Matt Taddy
OffRL
83
62
0
18 Dec 2017
Estimation Considerations in Contextual Bandits
Estimation Considerations in Contextual Bandits
Maria Dimakopoulou
Zhengyuan Zhou
Susan Athey
Guido Imbens
266
69
0
19 Nov 2017
Why Adaptively Collected Data Have Negative Bias and How to Correct for
  It
Why Adaptively Collected Data Have Negative Bias and How to Correct for It
Xinkun Nie
Xiaoying Tian
Jonathan E. Taylor
James Zou
OnRL
58
90
0
07 Aug 2017
Generalization for Adaptively-chosen Estimators via Stable Median
Generalization for Adaptively-chosen Estimators via Stable Median
Vitaly Feldman
Thomas Steinke
109
42
0
15 Jun 2017
Achieving Privacy in the Adversarial Multi-Armed Bandit
Achieving Privacy in the Adversarial Multi-Armed Bandit
Aristide C. Y. Tossou
Christos Dimitrakakis
56
57
0
16 Jan 2017
Fair Algorithms for Infinite and Contextual Bandits
Fair Algorithms for Infinite and Contextual Bandits
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Seth Neel
Aaron Roth
FedML
FaML
58
56
0
29 Oct 2016
Max-Information, Differential Privacy, and Post-Selection Hypothesis
  Testing
Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing
Ryan M. Rogers
Aaron Roth
Adam D. Smith
Om Thakkar
105
83
0
13 Apr 2016
Adaptive Learning with Robust Generalization Guarantees
Adaptive Learning with Robust Generalization Guarantees
Rachel Cummings
Katrina Ligett
Kobbi Nissim
Aaron Roth
Zhiwei Steven Wu
FedML
48
57
0
24 Feb 2016
A Minimax Theory for Adaptive Data Analysis
A Minimax Theory for Adaptive Data Analysis
Yu Wang
Jing Lei
S. Fienberg
167
18
0
13 Feb 2016
Algorithms for Differentially Private Multi-Armed Bandits
Algorithms for Differentially Private Multi-Armed Bandits
Aristide C. Y. Tossou
Christos Dimitrakakis
FedML
75
111
0
27 Nov 2015
Algorithmic Stability for Adaptive Data Analysis
Algorithmic Stability for Adaptive Data Analysis
Raef Bassily
Kobbi Nissim
Adam D. Smith
Thomas Steinke
Uri Stemmer
Jonathan R. Ullman
91
267
0
08 Nov 2015
Generalization in Adaptive Data Analysis and Holdout Reuse
Generalization in Adaptive Data Analysis and Holdout Reuse
Cynthia Dwork
Vitaly Feldman
Moritz Hardt
T. Pitassi
Omer Reingold
Aaron Roth
60
230
0
08 Jun 2015
The Ladder: A Reliable Leaderboard for Machine Learning Competitions
The Ladder: A Reliable Leaderboard for Machine Learning Competitions
Avrim Blum
Moritz Hardt
61
134
0
16 Feb 2015
Preserving Statistical Validity in Adaptive Data Analysis
Preserving Statistical Validity in Adaptive Data Analysis
Cynthia Dwork
Vitaly Feldman
Moritz Hardt
T. Pitassi
Omer Reingold
Aaron Roth
74
375
0
10 Nov 2014
Interactive Fingerprinting Codes and the Hardness of Preventing False
  Discovery
Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery
Thomas Steinke
Jonathan R. Ullman
76
108
0
05 Oct 2014
Preventing False Discovery in Interactive Data Analysis is Hard
Preventing False Discovery in Interactive Data Analysis is Hard
Moritz Hardt
Jonathan R. Ullman
75
127
0
06 Aug 2014
A Contextual-Bandit Approach to Personalized News Article Recommendation
A Contextual-Bandit Approach to Personalized News Article Recommendation
Lihong Li
Wei Chu
John Langford
Robert Schapire
459
2,949
0
28 Feb 2010
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