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Precise Error Analysis of Regularized M-estimators in High-dimensions

Precise Error Analysis of Regularized M-estimators in High-dimensions

23 January 2016
Christos Thrampoulidis
Ehsan Abbasi
B. Hassibi
ArXivPDFHTML

Papers citing "Precise Error Analysis of Regularized M-estimators in High-dimensions"

17 / 17 papers shown
Title
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning
Pierre C. Bellec
Yi Shen
27
13
0
03 Jan 2025
Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm
Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm
Xiaosi Gu
Tomoyuki Obuchi
64
0
0
29 Nov 2024
Random Matrix Analysis to Balance between Supervised and Unsupervised
  Learning under the Low Density Separation Assumption
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
Vasilii Feofanov
Malik Tiomoko
Aladin Virmaux
16
5
0
20 Oct 2023
Exact threshold for approximate ellipsoid fitting of random points
Exact threshold for approximate ellipsoid fitting of random points
Antoine Maillard
Afonso S. Bandeira
14
1
0
09 Oct 2023
Towards a statistical theory of data selection under weak supervision
Towards a statistical theory of data selection under weak supervision
Germain Kolossov
Andrea Montanari
Pulkit Tandon
9
14
0
25 Sep 2023
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation
Jin-Hong Du
Pratik V. Patil
Arun K. Kuchibhotla
11
11
0
25 Apr 2023
Injectivity of ReLU networks: perspectives from statistical physics
Injectivity of ReLU networks: perspectives from statistical physics
Antoine Maillard
Afonso S. Bandeira
David Belius
Ivan Dokmanić
S. Nakajima
15
4
0
27 Feb 2023
Approximate message passing from random initialization with applications
  to $\mathbb{Z}_{2}$ synchronization
Approximate message passing from random initialization with applications to Z2\mathbb{Z}_{2}Z2​ synchronization
Gen Li
Wei Fan
Yuting Wei
21
10
0
07 Feb 2023
Monotonic Risk Relationships under Distribution Shifts for Regularized
  Risk Minimization
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
Daniel LeJeune
Jiayu Liu
Reinhard Heckel
13
0
0
20 Oct 2022
A Blessing of Dimensionality in Membership Inference through
  Regularization
A Blessing of Dimensionality in Membership Inference through Regularization
Jasper Tan
Daniel LeJeune
Blake Mason
Hamid Javadi
Richard G. Baraniuk
8
18
0
27 May 2022
Learning curves for the multi-class teacher-student perceptron
Learning curves for the multi-class teacher-student perceptron
Elisabetta Cornacchia
Francesca Mignacco
R. Veiga
Cédric Gerbelot
Bruno Loureiro
Lenka Zdeborová
12
20
0
22 Mar 2022
Performance of Bayesian linear regression in a model with mismatch
Performance of Bayesian linear regression in a model with mismatch
Jean Barbier
Wei-Kuo Chen
D. Panchenko
Manuel Sáenz
32
22
0
14 Jul 2021
Label-Imbalanced and Group-Sensitive Classification under
  Overparameterization
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Ganesh Ramachandra Kini
Orestis Paraskevas
Samet Oymak
Christos Thrampoulidis
17
93
0
02 Mar 2021
Precise Statistical Analysis of Classification Accuracies for
  Adversarial Training
Precise Statistical Analysis of Classification Accuracies for Adversarial Training
Adel Javanmard
Mahdi Soltanolkotabi
AAML
13
61
0
21 Oct 2020
Does SLOPE outperform bridge regression?
Does SLOPE outperform bridge regression?
Shuaiwen Wang
Haolei Weng
A. Maleki
10
19
0
20 Sep 2019
Fundamental Barriers to High-Dimensional Regression with Convex
  Penalties
Fundamental Barriers to High-Dimensional Regression with Convex Penalties
Michael Celentano
Andrea Montanari
20
46
0
25 Mar 2019
A modern maximum-likelihood theory for high-dimensional logistic
  regression
A modern maximum-likelihood theory for high-dimensional logistic regression
Pragya Sur
Emmanuel J. Candes
16
285
0
19 Mar 2018
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