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Generalization for Adaptively-chosen Estimators via Stable Median

Generalization for Adaptively-chosen Estimators via Stable Median

15 June 2017
Vitaly Feldman
Thomas Steinke
ArXivPDFHTML

Papers citing "Generalization for Adaptively-chosen Estimators via Stable Median"

14 / 14 papers shown
Title
Public-data Assisted Private Stochastic Optimization: Power and
  Limitations
Public-data Assisted Private Stochastic Optimization: Power and Limitations
Enayat Ullah
Michael Menart
Raef Bassily
Cristóbal Guzmán
Raman Arora
30
1
0
06 Mar 2024
Adversarially Robust Distributed Count Tracking via Partial Differential
  Privacy
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy
Zhongzheng Xiong
Xiaoyi Zhu
Zengfeng Huang
20
0
0
01 Nov 2023
Adaptive Data Analysis in a Balanced Adversarial Model
Adaptive Data Analysis in a Balanced Adversarial Model
Kobbi Nissim
Uri Stemmer
Eliad Tsfadia
FedML
18
1
0
24 May 2023
Unbounded Differentially Private Quantile and Maximum Estimation
Unbounded Differentially Private Quantile and Maximum Estimation
D. Durfee
41
6
0
02 May 2023
On Differential Privacy and Adaptive Data Analysis with Bounded Space
On Differential Privacy and Adaptive Data Analysis with Bounded Space
Itai Dinur
Uri Stemmer
David P. Woodruff
Samson Zhou
18
12
0
11 Feb 2023
Sequential algorithmic modification with test data reuse
Sequential algorithmic modification with test data reuse
Jean Feng
Gene Pennello
N. Petrick
B. Sahiner
Romain Pirracchio
Alexej Gossmann
19
4
0
21 Mar 2022
Private Prediction Sets
Private Prediction Sets
Anastasios Nikolas Angelopoulos
Stephen Bates
Tijana Zrnic
Michael I. Jordan
16
11
0
11 Feb 2021
A bounded-noise mechanism for differential privacy
A bounded-noise mechanism for differential privacy
Y. Dagan
Gil Kur
21
22
0
07 Dec 2020
The Sparse Vector Technique, Revisited
The Sparse Vector Technique, Revisited
Haim Kaplan
Yishay Mansour
Uri Stemmer
38
17
0
02 Oct 2020
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
21
47
0
09 Sep 2019
The Limits of Post-Selection Generalization
The Limits of Post-Selection Generalization
Kobbi Nissim
Adam D. Smith
Thomas Steinke
Uri Stemmer
Jonathan R. Ullman
31
26
0
15 Jun 2018
Privacy-preserving Prediction
Privacy-preserving Prediction
Cynthia Dwork
Vitaly Feldman
19
90
0
27 Mar 2018
The Everlasting Database: Statistical Validity at a Fair Price
The Everlasting Database: Statistical Validity at a Fair Price
Blake E. Woodworth
Vitaly Feldman
Saharon Rosset
Nathan Srebro
24
2
0
12 Mar 2018
Calibrating Noise to Variance in Adaptive Data Analysis
Calibrating Noise to Variance in Adaptive Data Analysis
Vitaly Feldman
Thomas Steinke
35
47
0
19 Dec 2017
1