Regularization, sparse recovery, and median-of-means tournaments
type: Item
instance of: scholarly article
title: Regularization, sparse recovery, and median-of-means tournaments
zbMATH Open document ID: 1467.62131
DOI: 10.3150/18-BEJ1046
author: Gábor Lugosi
author: Shahar Mendelson
published in: Bernoulli
publication date: 2019-06-14T00:00:00Z
full work available at URL: https://arxiv.org/abs/1701.04112
full work available at URL: https://projecteuclid.org/euclid.bj/1560326438
Mathematics Subject Classification ID: 62J99
Mathematics Subject Classification ID: 62J07
zbMATH DE Number: 7066250
zbMATH Keywords: Lasso
zbMATH Keywords: median-of-means tournament
zbMATH Keywords: regularized risk minimization
zbMATH Keywords: robust regression
zbMATH Keywords: Slope
MaRDI profile type: Publication
arXiv ID: 1701.04112
cites work: Robust linear least squares regression
cites work: Slope meets Lasso: improved oracle bounds and optimality
cites work: Empirical risk minimization for heavy-tailed losses
cites work: On spatially adaptive estimation of nonparametric regression
cites work: Loss minimization and parameter estimation with heavy tails
cites work: Learning from MOM's principles: Le Cam's approach
cites work: Sparse recovery under weak moment assumptions
cites work: Regularization and the small-ball method. I: Sparse recovery
cites work: Sub-Gaussian estimators of the mean of a random vector
cites work: Learning without concentration
cites work: ``Local'' vs. ``global'' parameters -- breaking the Gaussian complexity barrier
cites work: On aggregation for heavy-tailed classes
cites work: On Multiplier Processes Under Weak Moment Assumptions
cites work: An Unrestricted Learning Procedure
cites work: Geometric median and robust estimation in Banach spaces
cites work: Q4864293
OpenAlex ID: W2963290896
description: scientific article