Preserving Statistical Validity in Adaptive Data Analysis

10 November 2014

Papers citing "Preserving Statistical Validity in Adaptive Data Analysis"

50 / 63 papers shown

Title
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees A. Banerjee Qiaobo Li Yingxue Zhou 49 0 0 11 Jun 2024
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy Zhongzheng Xiong Xiaoyi Zhu Zengfeng Huang 20 0 0 01 Nov 2023
Generalization Guarantees via Algorithm-dependent Rademacher Complexity Sarah Sachs T. Erven Liam Hodgkinson Rajiv Khanna Umut Simsekli 25 3 0 04 Jul 2023
Adaptive Data Analysis in a Balanced Adversarial Model Kobbi Nissim Uri Stemmer Eliad Tsfadia FedML 18 1 0 24 May 2023
Statistical Indistinguishability of Learning Algorithms Alkis Kalavasis Amin Karbasi Shay Moran Grigoris Velegkas 25 16 0 23 May 2023
Unbounded Differentially Private Quantile and Maximum Estimation D. Durfee 41 6 0 02 May 2023
Stability is Stable: Connections between Replicability, Privacy, and Adaptive Generalization Mark Bun Marco Gaboardi Max Hopkins R. Impagliazzo Rex Lei T. Pitassi Satchit Sivakumar Jessica Sorrell 28 29 0 22 Mar 2023
On Differential Privacy and Adaptive Data Analysis with Bounded Space Itai Dinur Uri Stemmer David P. Woodruff Samson Zhou 16 12 0 11 Feb 2023
Valid Inference after Causal Discovery Paula Gradu Tijana Zrnic Yixin Wang Michael I. Jordan CML 26 8 0 11 Aug 2022
Improved Generalization Guarantees in Restricted Data Models Elbert Du Cynthia Dwork 17 1 0 20 Jul 2022
On the Privacy Properties of GAN-generated Samples Zinan Lin Vyas Sekar Giulia Fanti PICV 19 26 0 03 Jun 2022
Making Progress Based on False Discoveries Roi Livni 38 0 0 19 Apr 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights Gao Jin Xinping Yi Wei Huang S. Schewe Xiaowei Huang AAML 26 47 0 11 Mar 2022
Stable and Semi-stable Sampling Approaches for Continuously Used Samples N. Astrakhantsev D. Chittajallu Nabeel Kaushal V. Mokeev 4 0 0 02 Mar 2022
Low-Degree Multicalibration Parikshit Gopalan Michael P. Kim M. Singhal Shengjia Zhao FaML UQCV 22 37 0 02 Mar 2022
Does Label Differential Privacy Prevent Label Inference Attacks? Ruihan Wu Jinfu Zhou Kilian Q. Weinberger Chuan Guo 20 15 0 25 Feb 2022
Reproducibility in Learning R. Impagliazzo Rex Lei T. Pitassi Jessica Sorrell 18 43 0 20 Jan 2022
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization Paul Mangold A. Bellet Joseph Salmon Marc Tommasi 30 14 0 22 Oct 2021
A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators Idan Attias E. Cohen M. Shechner Uri Stemmer 26 29 0 30 Jul 2021
Whiteout: when do fixed-X knockoffs fail? Xiao Li William Fithian 18 9 0 30 Jun 2021
Adaptive Machine Unlearning Varun Gupta Christopher Jung Seth Neel Aaron Roth Saeed Sharifi-Malvajerdi Chris Waites MU 11 174 0 08 Jun 2021
Antipodes of Label Differential Privacy: PATE and ALIBI Mani Malek Ilya Mironov Karthik Prasad I. Shilov Florian Tramèr 8 62 0 07 Jun 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization Saurabh Garg Sivaraman Balakrishnan J. Zico Kolter Zachary Chase Lipton 28 30 0 01 May 2021
A bounded-noise mechanism for differential privacy Y. Dagan Gil Kur 21 22 0 07 Dec 2020
Outcome Indistinguishability Cynthia Dwork Michael P. Kim Omer Reingold G. Rothblum G. Yona 14 62 0 26 Nov 2020
Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability Gintare Karolina Dziugaite Shai Ben-David Daniel M. Roy FaML 17 38 0 26 Oct 2020
The Sparse Vector Technique, Revisited Haim Kaplan Yishay Mansour Uri Stemmer 35 17 0 02 Oct 2020
$Low Influence, Utility, and Independence in Differential Privacy: A Curious Case of $3 \choose 2$$ Low Influence, Utility, and Independence in Differential Privacy: A Curious Case of $3 \choose 2$ Rafael G. L. DÓliveira Salman Salamatian Muriel Médard Parastoo Sadeghi 15 0 0 21 Aug 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 34 125 0 05 Aug 2020
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification Yingxue Zhou Zhiwei Steven Wu A. Banerjee 16 106 0 07 Jul 2020
PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata Ilja Kuzborskij Csaba Szepesvári John Shawe-Taylor 33 80 0 23 Jun 2020
A Hierarchy of Limitations in Machine Learning M. Malik 15 55 0 12 Feb 2020
Reasoning About Generalization via Conditional Mutual Information Thomas Steinke Lydia Zakynthinou 23 159 0 24 Jan 2020
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
Private Stochastic Convex Optimization with Optimal Rates Raef Bassily Vitaly Feldman Kunal Talwar Abhradeep Thakurta 19 236 0 27 Aug 2019
Does Learning Require Memorization? A Short Tale about a Long Tail Vitaly Feldman TDI 21 481 0 12 Jun 2019
Model Similarity Mitigates Test Set Overuse Horia Mania John Miller Ludwig Schmidt Moritz Hardt Benjamin Recht 20 50 0 29 May 2019
The advantages of multiple classes for reducing overfitting from test set reuse Vitaly Feldman Roy Frostig Moritz Hardt 22 29 0 24 May 2019
Towards Formalizing the GDPR's Notion of Singling Out A. Cohen Kobbi Nissim 16 81 0 12 Apr 2019
A New Approach to Adaptive Data Analysis and Learning via Maximal Leakage A. Esposito Michael C. Gastpar Ibrahim Issa 11 7 0 05 Mar 2019
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate Vitaly Feldman J. Vondrák 21 154 0 27 Feb 2019
Asynchronous Online Testing of Multiple Hypotheses Tijana Zrnic Aaditya Ramdas Michael I. Jordan 14 30 0 12 Dec 2018
Lower Bounds for Parallel and Randomized Convex Optimization Jelena Diakonikolas Cristóbal Guzmán 33 44 0 05 Nov 2018
The Limits of Post-Selection Generalization Kobbi Nissim Adam D. Smith Thomas Steinke Uri Stemmer Jonathan R. Ullman 31 26 0 15 Jun 2018
Why rankings of biomedical image analysis competitions should be interpreted with care Lena Maier-Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic ... Ching-Wei Wang M. Weber G. Zheng Pierre Jannin A. Kopp-Schneider 15 297 0 06 Jun 2018
Privacy-preserving Prediction Cynthia Dwork Vitaly Feldman 16 90 0 27 Mar 2018
The Everlasting Database: Statistical Validity at a Fair Price Blake E. Woodworth Vitaly Feldman Saharon Rosset Nathan Srebro 24 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 25 144 0 26 Dec 2017
Calibrating Noise to Variance in Adaptive Data Analysis Vitaly Feldman Thomas Steinke 35 47 0 19 Dec 2017
Sampling Without Compromising Accuracy in Adaptive Data Analysis Benjamin Fish L. Reyzin Benjamin I. P. Rubinstein 47 8 0 28 Sep 2017