Generalization error in high-dimensional perceptrons: Approaching Bayes
error with convex optimization

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

11 June 2020

Florent Krzakala

Lenka Zdeborová

Papers citing "Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization"

15 / 15 papers shown

Title
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs Kasimir Tanner Matteo Vilucchio Bruno Loureiro Florent Krzakala AAML 63 0 0 31 Dec 2024
Analysis of High-dimensional Gaussian Labeled-unlabeled Mixture Model via Message-passing Algorithm Xiaosi Gu Tomoyuki Obuchi 77 0 0 29 Nov 2024
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption Vasilii Feofanov Malik Tiomoko Aladin Virmaux 35 5 0 20 Oct 2023
Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture Minh-Toan Nguyen Romain Couillet 30 4 0 03 Mar 2023
Bayes-optimal Learning of Deep Random Networks of Extensive-width Hugo Cui Florent Krzakala Lenka Zdeborová BDL 30 35 0 01 Feb 2023
Rigorous dynamical mean field theory for stochastic gradient descent methods Cédric Gerbelot Emanuele Troiani Francesca Mignacco Florent Krzakala Lenka Zdeborova 38 26 0 12 Oct 2022
Equivalence of state equations from different methods in High-dimensional Regression Saidi Luo Songtao Tian 13 0 0 25 Sep 2022
Learning curves for the multi-class teacher-student perceptron Elisabetta Cornacchia Francesca Mignacco R. Veiga Cédric Gerbelot Bruno Loureiro Lenka Zdeborová 28 21 0 22 Mar 2022
Graph-based Approximate Message Passing Iterations Cédric Gerbelot Raphael Berthier 48 47 0 24 Sep 2021
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning Yehuda Dar Vidya Muthukumar Richard G. Baraniuk 38 71 0 06 Sep 2021
Performance of Bayesian linear regression in a model with mismatch Jean Barbier Wei-Kuo Chen D. Panchenko Manuel Sáenz 40 22 0 14 Jul 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 31 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 35 136 0 16 Feb 2021
Phase Transitions in Transfer Learning for High-Dimensional Perceptrons Oussama Dhifallah Yue M. Lu 43 20 0 06 Jan 2021
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime Stéphane dÁscoli Maria Refinetti Giulio Biroli Florent Krzakala 98 152 0 02 Mar 2020