Asymptotics of resampling without replacement in robust and logistic regression

2 April 2024

Papers citing "Asymptotics of resampling without replacement in robust and logistic regression"

20 / 20 papers shown

Title
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning Pierre C. Bellec Yi Shen 76 13 0 03 Jan 2025
Error estimation and adaptive tuning for unregularized robust M-estimator Pierre C. Bellec Takuya Koriyama 57 1 0 20 Dec 2023
Existence of solutions to the nonlinear equations characterizing the precise error of M-estimators Pierre C. Bellec Takuya Koriyama 40 3 0 20 Dec 2023
Corrected generalized cross-validation for finite ensembles of penalized estimators Pierre C. Bellec Jin-Hong Du Takuya Koriyama Pratik Patil Kai Tan 52 4 0 02 Oct 2023
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation Jin-Hong Du Pratik V. Patil Arun K. Kuchibhotla 67 11 0 25 Apr 2023
Bagging in overparameterized learning: Risk characterization and risk monotonization Pratik V. Patil Jin-Hong Du Arun K. Kuchibhotla 11 15 0 20 Oct 2022
Observable adjustments in single-index models for regularized M-estimators Pierre C. Bellec 48 10 0 14 Apr 2022
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension Bruno Loureiro Cédric Gerbelot Maria Refinetti G. Sicuro Florent Krzakala 63 27 0 31 Jan 2022
Learning curves of generic features maps for realistic datasets with a teacher-student model Bruno Loureiro Cédric Gerbelot Hugo Cui Sebastian Goldt Florent Krzakala M. Mézard Lenka Zdeborová 95 138 0 16 Feb 2021
The Asymptotic Distribution of the MLE in High-dimensional Logistic Models: Arbitrary Covariance Qian Zhao Pragya Sur Emmanuel J. Candès 42 36 0 25 Jan 2020
De-biasing convex regularized estimators and interval estimation in linear models Pierre C. Bellec Cun-Hui Zhang 71 20 0 26 Dec 2019
The Implicit Regularization of Ordinary Least Squares Ensembles Daniel LeJeune Hamid Javadi Richard G. Baraniuk 95 43 0 10 Oct 2019
The Impact of Regularization on High-dimensional Logistic Regression Fariborz Salehi Ehsan Abbasi B. Hassibi 93 103 0 10 Jun 2019
Second order Stein: SURE for SURE and other applications in high-dimensional inference Pierre C. Bellec Cun-Hui Zhang 44 33 0 09 Nov 2018
The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression Emmanuel J. Candes Pragya Sur 50 140 0 25 Apr 2018
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 51 288 0 19 Mar 2018
Precise Error Analysis of Regularized M-estimators in High-dimensions Christos Thrampoulidis Ehsan Abbasi B. Hassibi 172 219 0 23 Jan 2016
Asymptotic behavior of unregularized and ridge-regularized high-dimensional robust regression estimators : rigorous results N. Karoui 78 109 0 11 Nov 2013
High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing D. Donoho Andrea Montanari 203 221 0 28 Oct 2013
The LASSO risk for gaussian matrices Mohsen Bayati Andrea Montanari 178 318 0 16 Aug 2010