Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm

26 May 2019

Papers citing "Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm"

9 / 9 papers shown

Title
Sparsity-depth Tradeoff in Infinitely Wide Deep Neural Networks Chanwoo Chun Daniel D. Lee BDL 35 2 0 17 May 2023
A Solvable Model of Neural Scaling Laws A. Maloney Daniel A. Roberts J. Sully 36 51 0 30 Oct 2022
Contrasting random and learned features in deep Bayesian linear regression Jacob A. Zavatone-Veth William L. Tong Cengiz Pehlevan BDL MLT 28 26 0 01 Mar 2022
Turing-Universal Learners with Optimal Scaling Laws Preetum Nakkiran 21 2 0 09 Nov 2021
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios Alessandro Favero Francesco Cagnetta M. Wyart 30 31 0 16 Jun 2021
Learning Curve Theory Marcus Hutter 140 59 0 08 Feb 2021
Geometric compression of invariant manifolds in neural nets J. Paccolat Leonardo Petrini Mario Geiger Kevin Tyloo M. Wyart MLT 55 34 0 22 Jul 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon Abdulkadir Canatar Cengiz Pehlevan 144 201 0 07 Feb 2020
Modelling the influence of data structure on learning in neural networks: the hidden manifold model Sebastian Goldt M. Mézard Florent Krzakala Lenka Zdeborová BDL 29 51 0 25 Sep 2019