Universality in block dependent linear models with applications to nonparametric regression

30 December 2023

Papers citing "Universality in block dependent linear models with applications to nonparametric regression"

21 / 21 papers shown

Title
$Approximate message passing from random initialization with applications to $\mathbb{Z}_{2}$ synchronization$ Approximate message passing from random initialization with applications to $\mathbb{Z}_{2}$ synchronization Gen Li Wei Fan Yuting Wei 81 12 0 07 Feb 2023
Spectral Universality of Regularized Linear Regression with Nearly Deterministic Sensing Matrices Rishabh Dudeja Subhabrata Sen Yue M. Lu 35 21 0 04 Aug 2022
Universality of regularized regression estimators in high dimensions Q. Han Yandi Shen 44 20 0 16 Jun 2022
High-dimensional Asymptotics of Langevin Dynamics in Spiked Matrix Models Tengyuan Liang Subhabrata Sen Pragya Sur 81 7 0 09 Apr 2022
A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists Andrea Montanari Subhabrata Sen 30 13 0 06 Apr 2022
Universality of empirical risk minimization Andrea Montanari Basil Saeed OOD 66 75 0 17 Feb 2022
A unifying tutorial on Approximate Message Passing Oliver Y. Feng R. Venkataramanan Cynthia Rush R. Samworth 48 88 0 05 May 2021
Approximate Message Passing with Spectral Initialization for Generalized Linear Models Marco Mondelli R. Venkataramanan 66 39 0 07 Oct 2020
A Model of Double Descent for High-dimensional Binary Linear Classification Zeyu Deng A. Kammoun Christos Thrampoulidis 105 148 0 13 Nov 2019
The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression Emmanuel J. Candes Pragya Sur 81 141 0 25 Apr 2018
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models Jean Barbier Florent Krzakala N. Macris Léo Miolane Lenka Zdeborová 94 268 0 10 Aug 2017
Functional Regression Jeffrey S. Morris OffRL 181 453 0 16 Jun 2014
The Squared-Error of Generalized LASSO: A Precise Analysis Samet Oymak Christos Thrampoulidis B. Hassibi 155 132 0 04 Nov 2013
High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing D. Donoho Andrea Montanari 236 223 0 28 Oct 2013
A framework to characterize performance of LASSO algorithms M. Stojnic 288 129 0 29 Mar 2013
State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling Adel Javanmard Andrea Montanari 83 265 0 21 Nov 2012
Sparsity in multiple kernel learning V. Koltchinskii M. Yuan 223 191 0 13 Nov 2012
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 486 1,379 0 13 Oct 2010
Minimax-optimal rates for sparse additive models over kernel classes via convex programming Garvesh Raskutti Martin J. Wainwright Bin Yu 159 287 0 21 Aug 2010
The LASSO risk for gaussian matrices Mohsen Bayati Andrea Montanari 188 320 0 16 Aug 2010
Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing D. Donoho Jared Tanner 96 465 0 14 Jun 2009