The distribution of the Lasso: Uniform control over sparse balls and adaptive parameter tuning

3 November 2018

Papers citing "The distribution of the Lasso: Uniform control over sparse balls and adaptive parameter tuning"

21 / 21 papers shown

Title
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning Pierre C. Bellec Yi Shen 45 13 0 03 Jan 2025
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression Kai Tan Pierre C. Bellec 26 0 0 03 Oct 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis Yufan Li Subhabrata Sen Ben Adlam MLT 51 1 0 18 Apr 2024
Existence of solutions to the nonlinear equations characterizing the precise error of M-estimators Pierre C. Bellec Takuya Koriyama 8 2 0 20 Dec 2023
Towards a statistical theory of data selection under weak supervision Germain Kolossov Andrea Montanari Pulkit Tandon 16 14 0 25 Sep 2023
High-dimensional Contextual Bandit Problem without Sparsity Junpei Komiyama Masaaki Imaizumi 29 0 0 19 Jun 2023
Moment-Based Adjustments of Statistical Inference in High-Dimensional Generalized Linear Models Kazuma Sawaya Yoshimasa Uematsu Masaaki Imaizumi 29 2 0 28 May 2023
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation Jin-Hong Du Pratik V. Patil Arun K. Kuchibhotla 21 11 0 25 Apr 2023
$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 26 10 0 07 Feb 2023
Sudakov-Fernique post-AMP, and a new proof of the local convexity of the TAP free energy Michael Celentano 34 20 0 19 Aug 2022
Exact spectral norm error of sample covariance Q. Han 24 7 0 27 Jul 2022
Overparametrized linear dimensionality reductions: From projection pursuit to two-layer neural networks Andrea Montanari Kangjie Zhou 21 2 0 14 Jun 2022
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 27 93 0 02 Mar 2021
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 32 135 0 16 Feb 2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks Xiangyu Chang Yingcong Li Samet Oymak Christos Thrampoulidis 35 50 0 16 Dec 2020
Precise Statistical Analysis of Classification Accuracies for Adversarial Training Adel Javanmard Mahdi Soltanolkotabi AAML 26 62 0 21 Oct 2020
The Lasso with general Gaussian designs with applications to hypothesis testing Michael Celentano Andrea Montanari Yuting Wei 42 63 0 27 Jul 2020
De-biasing convex regularized estimators and interval estimation in linear models Pierre C. Bellec Cun-Hui Zhang 27 20 0 26 Dec 2019
Fundamental Barriers to High-Dimensional Regression with Convex Penalties Michael Celentano Andrea Montanari 33 46 0 25 Mar 2019
On cross-validated Lasso in high dimensions Denis Chetverikov Z. Liao Victor Chernozhukov 27 80 0 07 May 2016
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 109 160 0 17 Jan 2013