The role of regularization in classification of high-dimensional noisy
Gaussian mixture

The role of regularization in classification of high-dimensional noisy Gaussian mixture

26 February 2020

Francesca Mignacco

Florent Krzakala

Lenka Zdeborová

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Papers citing "The role of regularization in classification of high-dimensional noisy Gaussian mixture"

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Title
A Concentration of Measure Framework to study convex problems and other implicit formulation problems in machine learning Cosme Louart 38 0 0 19 Oct 2020
Statistical and Algorithmic Insights for Semi-supervised Learning with Self-training Samet Oymak Talha Cihad Gulcu 80 20 0 19 Jun 2020
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions Hossein Taheri Ramtin Pedarsani Christos Thrampoulidis 84 29 0 16 Jun 2020
Entropic gradient descent algorithms and wide flat minima Fabrizio Pittorino Carlo Lucibello Christoph Feinauer Gabriele Perugini Carlo Baldassi Elizaveta Demyanenko R. Zecchina ODL MLT 113 33 0 14 Jun 2020
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization Benjamin Aubin Florent Krzakala Yue M. Lu Lenka Zdeborová 78 56 0 11 Jun 2020
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification Francesca Mignacco Florent Krzakala Pierfrancesco Urbani Lenka Zdeborová MLT 88 69 0 10 Jun 2020
A Model of Double Descent for High-dimensional Binary Linear Classification Zeyu Deng A. Kammoun Christos Thrampoulidis 126 148 0 13 Nov 2019
Large dimensional analysis of general margin based classification methods Hanwen Huang Qinglong Yang 53 7 0 23 Jan 2019