ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2309.16476
  4. Cited By
High-dimensional robust regression under heavy-tailed data: Asymptotics
  and Universality
v1v2 (latest)

High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality

28 September 2023
Sining Chen
Leonardo Defilippis
Bruno Loureiro
G. Sicuro
ArXiv (abs)PDFHTML

Papers citing "High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality"

12 / 12 papers shown
Title
Classification of Heavy-tailed Features in High Dimensions: a
  Superstatistical Approach
Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach
Urte Adomaityte
G. Sicuro
P. Vivo
33
9
0
06 Apr 2023
On double-descent in uncertainty quantification in overparametrized
  models
On double-descent in uncertainty quantification in overparametrized models
Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
UQCV
87
14
0
23 Oct 2022
Gaussian Universality of Perceptrons with Random Labels
Gaussian Universality of Perceptrons with Random Labels
Federica Gerace
Florent Krzakala
Bruno Loureiro
Ludovic Stephan
Lenka Zdeborová
88
24
0
26 May 2022
Theoretical characterization of uncertainty in high-dimensional linear
  classification
Theoretical characterization of uncertainty in high-dimensional linear classification
Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
65
20
0
07 Feb 2022
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
Abhishek Roy
Krishnakumar Balasubramanian
Murat A. Erdogdu
84
18
0
06 Sep 2021
Asymptotic normality of robust $M$-estimators with convex penalty
Asymptotic normality of robust MMM-estimators with convex penalty
Pierre C. Bellec
Yiwei Shen
Cun-Hui Zhang
41
12
0
08 Jul 2021
Out-of-sample error estimate for robust M-estimators with convex penalty
Out-of-sample error estimate for robust M-estimators with convex penalty
Pierre C. Bellec
79
17
0
26 Aug 2020
Mean estimation and regression under heavy-tailed distributions--a
  survey
Mean estimation and regression under heavy-tailed distributions--a survey
Gabor Lugosi
S. Mendelson
98
244
0
10 Jun 2019
The phase transition for the existence of the maximum likelihood
  estimate in high-dimensional logistic regression
The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression
Emmanuel J. Candes
Pragya Sur
63
140
0
25 Apr 2018
Optimal Errors and Phase Transitions in High-Dimensional Generalized
  Linear Models
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models
Jean Barbier
Florent Krzakala
N. Macris
Léo Miolane
Lenka Zdeborová
82
265
0
10 Aug 2017
Adaptive Huber Regression
Adaptive Huber Regression
Qiang Sun
Wen-Xin Zhou
Jianqing Fan
162
280
0
21 Jun 2017
High Dimensional Robust M-Estimation: Asymptotic Variance via
  Approximate Message Passing
High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing
D. Donoho
Andrea Montanari
221
221
0
28 Oct 2013
1