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

26 February 2020

Lenka Zdeborová

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

23 / 23 papers shown

Title
The Double Descent Behavior in Two Layer Neural Network for Binary Classification Chathurika S Abeykoon A. Beknazaryan Hailin Sang 92 1 0 27 Apr 2025
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model Kaito Takanami Takashi Takahashi Ayaka Sakata 78 1 0 27 Jan 2025
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model F.S. Pezzicoli V. Ros F.P. Landes M. Baity-Jesi 55 2 0 20 Jan 2025
Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Xiaosi Gu Tomoyuki Obuchi 98 0 0 29 Nov 2024
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study Tomoyuki Obuchi Toshiyuki Tanaka 82 0 0 09 Sep 2024
Restoring balance: principled under/oversampling of data for optimal classification Emanuele Loffredo Mauro Pastore Simona Cocco R. Monasson 61 9 0 15 May 2024
Analytic Study of Double Descent in Binary Classification: The Impact of Loss Ganesh Ramachandra Kini Christos Thrampoulidis 52 52 0 30 Jan 2020
Deep Double Descent: Where Bigger Models and More Data Hurt Preetum Nakkiran Gal Kaplun Yamini Bansal Tristan Yang Boaz Barak Ilya Sutskever 105 925 0 04 Dec 2019
A Model of Double Descent for High-dimensional Binary Linear Classification Zeyu Deng A. Kammoun Christos Thrampoulidis 68 145 0 13 Nov 2019
The generalization error of random features regression: Precise asymptotics and double descent curve Song Mei Andrea Montanari 68 631 0 14 Aug 2019
Asymptotic Bayes risk for Gaussian mixture in a semi-supervised setting Marc Lelarge Léo Miolane 36 28 0 08 Jul 2019
The Impact of Regularization on High-dimensional Logistic Regression Fariborz Salehi Ehsan Abbasi B. Hassibi 91 103 0 10 Jun 2019
Understanding overfitting peaks in generalization error: Analytical risk curves for $l_2$ and $l_1$ penalized interpolation P. Mitra 35 50 0 09 Jun 2019
High Dimensional Classification via Regularized and Unregularized Empirical Risk Minimization: Precise Error and Optimal Loss Xiaoyi Mai Zhenyu Liao 15 16 0 31 May 2019
Surprises in High-Dimensional Ridgeless Least Squares Interpolation Trevor Hastie Andrea Montanari Saharon Rosset Robert Tibshirani 124 737 0 19 Mar 2019
Reconciling modern machine learning practice and the bias-variance trade-off M. Belkin Daniel J. Hsu Siyuan Ma Soumik Mandal 172 1,628 0 28 Dec 2018
The jamming transition as a paradigm to understand the loss landscape of deep neural networks Mario Geiger S. Spigler Stéphane dÁscoli Levent Sagun Marco Baity-Jesi Giulio Biroli Matthieu Wyart 46 141 0 25 Sep 2018
The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression Emmanuel J. Candes Pragya Sur 34 140 0 25 Apr 2018
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 47 287 0 19 Mar 2018
The Implicit Bias of Gradient Descent on Separable Data Daniel Soudry Elad Hoffer Mor Shpigel Nacson Suriya Gunasekar Nathan Srebro 66 908 0 27 Oct 2017
Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering T. Lesieur Caterina De Bacco Jessica E. Banks Florent Krzakala Cristopher Moore Lenka Zdeborová 38 40 0 10 Oct 2016
High-Dimensional Asymptotics of Prediction: Ridge Regression and Classification Yan Sun Stefan Wager 50 288 0 10 Jul 2015
Message Passing Algorithms for Compressed Sensing D. Donoho A. Maleki Andrea Montanari 96 2,352 0 21 Jul 2009