Learning curves for the multi-class teacher-student perceptron

Learning curves for the multi-class teacher-student perceptron

22 March 2022

Elisabetta Cornacchia

Francesca Mignacco

Cédric Gerbelot

Lenka Zdeborová

Papers citing "Learning curves for the multi-class teacher-student perceptron"

14 / 14 papers shown

Title
Provable Weak-to-Strong Generalization via Benign Overfitting David X. Wu A. Sahai 73 6 0 06 Oct 2024
Nonlinear classification of neural manifolds with contextual information Francesca Mignacco Chi-Ning Chou SueYeon Chung 23 2 0 10 May 2024
A Convergence Analysis of Approximate Message Passing with Non-Separable Functions and Applications to Multi-Class Classification Burak Çakmak Yue M. Lu Manfred Opper 28 4 0 13 Feb 2024
A phase transition between positional and semantic learning in a solvable model of dot-product attention Hugo Cui Freya Behrens Florent Krzakala Lenka Zdeborová MLT 35 11 0 06 Feb 2024
The Copycat Perceptron: Smashing Barriers Through Collective Learning Giovanni Catania A. Decelle Beatriz Seoane FedML 17 2 0 07 Aug 2023
Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models David X. Wu A. Sahai 26 2 0 23 Jun 2023
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions Nishil Patel Sebastian Lee Stefano Sarao Mannelli Sebastian Goldt Adrew Saxe OffRL 28 3 0 17 Jun 2023
Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions Kai Tan Pierre C. Bellec 16 5 0 28 May 2023
Phase transitions in the mini-batch size for sparse and dense two-layer neural networks Raffaele Marino F. Ricci-Tersenghi 30 14 0 10 May 2023
Neural-prior stochastic block model O. Duranthon L. Zdeborová 41 3 0 17 Mar 2023
Wigner kernels: body-ordered equivariant machine learning without a basis Filippo Bigi Sergey Pozdnyakov Michele Ceriotti 32 15 0 07 Mar 2023
Are Gaussian data all you need? Extents and limits of universality in high-dimensional generalized linear estimation Luca Pesce Florent Krzakala Bruno Loureiro Ludovic Stephan 21 26 0 17 Feb 2023
On double-descent in uncertainty quantification in overparametrized models Lucas Clarté Bruno Loureiro Florent Krzakala Lenka Zdeborová UQCV 46 12 0 23 Oct 2022
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar Cengiz Pehlevan 144 201 0 07 Feb 2020