Algorithmic Stability for Adaptive Data Analysis

8 November 2015

Papers citing "Algorithmic Stability for Adaptive Data Analysis"

26 / 76 papers shown

Title
Asynchronous Online Testing of Multiple Hypotheses Tijana Zrnic Aaditya Ramdas Michael I. Jordan 14 30 0 12 Dec 2018
An Optimal Transport View on Generalization Jingwei Zhang Yian Chen Yi-Hsuan Yang 24 7 0 08 Nov 2018
Privacy Amplification by Iteration Vitaly Feldman Ilya Mironov Kunal Talwar Abhradeep Thakurta FedML 26 170 0 20 Aug 2018
The Limits of Post-Selection Generalization Kobbi Nissim Adam D. Smith Thomas Steinke Uri Stemmer Jonathan R. Ullman 33 26 0 15 Jun 2018
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate M. Belkin Daniel J. Hsu P. Mitra AI4CE 39 256 0 13 Jun 2018
Mitigating Bias in Adaptive Data Gathering via Differential Privacy Seth Neel Aaron Roth FedML 11 36 0 06 Jun 2018
Private PAC learning implies finite Littlestone dimension N. Alon Roi Livni M. Malliaris Shay Moran 23 110 0 04 Jun 2018
A Direct Sum Result for the Information Complexity of Learning Ido Nachum Jonathan Shafer Amir Yehudayoff 20 16 0 16 Apr 2018
Privacy-preserving Prediction Cynthia Dwork Vitaly Feldman 25 90 0 27 Mar 2018
The Everlasting Database: Statistical Validity at a Fair Price Blake E. Woodworth Vitaly Feldman Saharon Rosset Nathan Srebro 32 2 0 12 Mar 2018
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors Gintare Karolina Dziugaite Daniel M. Roy MLT 30 144 0 26 Dec 2017
Calibrating Noise to Variance in Adaptive Data Analysis Vitaly Feldman Thomas Steinke 38 48 0 19 Dec 2017
Sampling Without Compromising Accuracy in Adaptive Data Analysis Benjamin Fish L. Reyzin Benjamin I. P. Rubinstein 50 8 0 28 Sep 2017
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting Samuel Yeom Irene Giacomelli Matt Fredrikson S. Jha MIACV 28 39 0 05 Sep 2017
Generalization for Adaptively-chosen Estimators via Stable Median Vitaly Feldman Thomas Steinke 34 42 0 15 Jun 2017
The Price of Selection in Differential Privacy Mitali Bafna Jonathan R. Ullman 35 30 0 09 Feb 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 42 6,006 0 01 Jul 2016
On-Average KL-Privacy and its equivalence to Generalization for Max-Entropy Mechanisms Yu Wang Jing Lei S. Fienberg 17 48 0 08 May 2016
Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing Ryan M. Rogers Aaron Roth Adam D. Smith Om Thakkar 43 83 0 13 Apr 2016
Typical Stability Raef Bassily Y. Freund 22 16 0 12 Apr 2016
Challenges in Bayesian Adaptive Data Analysis Sam Elder 32 9 0 08 Apr 2016
A Minimax Theory for Adaptive Data Analysis Yu Wang Jing Lei S. Fienberg 31 18 0 13 Feb 2016
Statistical Query Algorithms for Mean Vector Estimation and Stochastic Convex Optimization Vitaly Feldman Cristóbal Guzmán Santosh Vempala 29 89 0 30 Dec 2015
Learning with Differential Privacy: Stability, Learnability and the Sufficiency and Necessity of ERM Principle Yu Wang Jing Lei S. Fienberg 33 103 0 23 Feb 2015
Preserving Statistical Validity in Adaptive Data Analysis Cynthia Dwork Vitaly Feldman Moritz Hardt T. Pitassi Omer Reingold Aaron Roth 34 375 0 10 Nov 2014
Learning Privately with Labeled and Unlabeled Examples A. Beimel Kobbi Nissim Uri Stemmer 40 23 0 10 Jul 2014