Generalization in Adaptive Data Analysis and Holdout Reuse

8 June 2015

Papers citing "Generalization in Adaptive Data Analysis and Holdout Reuse"

50 / 55 papers shown

Title
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Romain Chor Milad Sefidgaran Piotr Krasnowski 96 1 0 21 Feb 2025
Benchmarking Reliability of Deep Learning Models for Pathological Gait Classification Abhishek Jaiswal Nisheeth Srivastava 21 0 0 20 Sep 2024
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees A. Banerjee Qiaobo Li Yingxue Zhou 52 0 0 11 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 47 6 0 10 Jun 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures Paul Viallard Rémi Emonet Amaury Habrard Emilie Morvant Valentina Zantedeschi 39 3 0 19 Feb 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 34 3 0 16 Jan 2024
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy Zhongzheng Xiong Xiaoyi Zhu Zengfeng Huang 22 1 0 01 Nov 2023
Adaptive Data Analysis in a Balanced Adversarial Model Kobbi Nissim Uri Stemmer Eliad Tsfadia FedML 20 1 0 24 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
PRIMO: Private Regression in Multiple Outcomes Seth Neel 25 0 0 07 Mar 2023
On Differential Privacy and Adaptive Data Analysis with Bounded Space Itai Dinur Uri Stemmer David P. Woodruff Samson Zhou 24 12 0 11 Feb 2023
Differentially Private Enhanced Permissioned Blockchain for Private Data Sharing in Industrial IoT Muhammad Islam M. H. Rehmani Jinjun Chen 28 8 0 30 Nov 2022
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 25 1 0 20 Jul 2022
Understanding Generalization via Leave-One-Out Conditional Mutual Information Mahdi Haghifam Shay Moran Daniel M. Roy Gintare Karolina Dziugaite 28 14 0 29 Jun 2022
Making Progress Based on False Discoveries Roi Livni 38 0 0 19 Apr 2022
Treatment Effect Estimation with Efficient Data Aggregation Snigdha Panigrahi Jingshen Wang Xuming He 32 4 0 23 Mar 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights Gao Jin Xinping Yi Wei Huang S. Schewe Xiaowei Huang AAML 31 47 0 11 Mar 2022
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks Dominik Muller Iñaki Soto Rey Frank Kramer 34 56 0 27 Jan 2022
Weight Expansion: A New Perspective on Dropout and Generalization Gao Jin Xinping Yi Pengfei Yang Lijun Zhang S. Schewe Xiaowei Huang 29 5 0 23 Jan 2022
Reproducibility in Learning R. Impagliazzo Rex Lei T. Pitassi Jessica Sorrell 32 43 0 20 Jan 2022
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications Ziqiao Wang Yongyi Mao FedML MLT 39 22 0 07 Oct 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 25 174 0 08 Jun 2021
Non-Euclidean Differentially Private Stochastic Convex Optimization: Optimal Rates in Linear Time Raef Bassily Cristóbal Guzmán Anupama Nandi 54 66 0 01 Mar 2021
Outcome Indistinguishability Cynthia Dwork Michael P. Kim Omer Reingold G. Rothblum G. Yona 22 61 0 26 Nov 2020
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization Tianhao Wang Yuheng Zhang R. Jia 30 74 0 11 Sep 2020
Tighter risk certificates for neural networks Maria Perez-Ortiz Omar Rivasplata John Shawe-Taylor Csaba Szepesvári UQCV 20 102 0 25 Jul 2020
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds Yingxue Zhou Xiangyi Chen Mingyi Hong Zhiwei Steven Wu A. Banerjee 24 25 0 24 Jun 2020
PAC-Bayes Analysis Beyond the Usual Bounds Omar Rivasplata Ilja Kuzborskij Csaba Szepesvári John Shawe-Taylor 33 80 0 23 Jun 2020
Generalization Bounds via Information Density and Conditional Information Density Fredrik Hellström G. Durisi 27 65 0 16 May 2020
Reasoning About Generalization via Conditional Mutual Information Thomas Steinke Lydia Zakynthinou 23 160 0 24 Jan 2020
Noiseless Privacy F. Farokhi 13 9 0 29 Oct 2019
A Rademacher Complexity Based Method fo rControlling Power and Confidence Level in Adaptive Statistical Analysis L. Stefani E. Upfal 22 8 0 04 Oct 2019
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 advantages of multiple classes for reducing overfitting from test set reuse Vitaly Feldman Roy Frostig Moritz Hardt 27 29 0 24 May 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
Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination Adriano Soares Koshiyama Nikan B. Firoozye Philip C. Treleaven GAN 19 86 0 07 Jan 2019
The Limits of Post-Selection Generalization Kobbi Nissim Adam D. Smith Thomas Steinke Uri Stemmer Jonathan R. Ullman 33 26 0 15 Jun 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 26 39 0 05 Sep 2017
Generalization for Adaptively-chosen Estimators via Stable Median Vitaly Feldman Thomas Steinke 34 42 0 15 Jun 2017
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 24 9 0 08 Apr 2016
A Minimax Theory for Adaptive Data Analysis Yu Wang Jing Lei S. Fienberg 31 18 0 13 Feb 2016