A framework to characterize performance of LASSO algorithms

29 March 2013

Papers citing "A framework to characterize performance of LASSO algorithms"

17 / 17 papers shown

Title
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning Pierre C. Bellec Yi Shen 40 13 0 03 Jan 2025
Quantum Algorithms for the Pathwise Lasso J. F. Doriguello Debbie Lim Chi Seng Pun P. Rebentrost Tushar Vaidya 37 1 0 21 Dec 2023
Sudakov-Fernique post-AMP, and a new proof of the local convexity of the TAP free energy Michael Celentano 26 20 0 19 Aug 2022
Exact spectral norm error of sample covariance Q. Han 16 7 0 27 Jul 2022
Beyond Independent Measurements: General Compressed Sensing with GNN Application Alireza Naderi Y. Plan 21 4 0 30 Oct 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 22 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 15 135 0 16 Feb 2021
Phase Transitions in Transfer Learning for High-Dimensional Perceptrons Oussama Dhifallah Yue M. Lu 22 20 0 06 Jan 2021
Precise Statistical Analysis of Classification Accuracies for Adversarial Training Adel Javanmard Mahdi Soltanolkotabi AAML 24 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
$A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum-$\ell_1$-Norm Interpolated Classifiers$ A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum- $\ell_1$ -Norm Interpolated Classifiers Tengyuan Liang Pragya Sur 25 68 0 05 Feb 2020
A Model of Double Descent for High-dimensional Binary Linear Classification Zeyu Deng A. Kammoun Christos Thrampoulidis 21 143 0 13 Nov 2019
Fundamental Barriers to High-Dimensional Regression with Convex Penalties Michael Celentano Andrea Montanari 25 46 0 25 Mar 2019
The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements Christos Thrampoulidis Ehsan Abbasi B. Hassibi 23 116 0 06 Jun 2015
High-dimensional generalized linear models and the lasso Sara van de Geer 189 748 0 04 Apr 2008
Discussion: The Dantzig selector: Statistical estimation when $p$ is much larger than $n$ M. Friedlander Michael A. Saunders 80 10 0 21 Mar 2008
Discussion: The Dantzig selector: Statistical estimation when $p$ is much larger than $n$ B. Efron Trevor Hastie Robert Tibshirani 144 90 0 21 Mar 2008