Learning curves for Gaussian process regression with power-law priors and targets

23 October 2021

Papers citing "Learning curves for Gaussian process regression with power-law priors and targets"

8 / 8 papers shown

Title
Breaking Neural Network Scaling Laws with Modularity Akhilan Boopathy Sunshine Jiang William Yue Jaedong Hwang Abhiram Iyer Ila Fiete OOD 104 2 0 09 Sep 2024
The Shape of Learning Curves: a Review T. Viering Marco Loog 46 127 0 19 Mar 2021
Explaining Neural Scaling Laws Yasaman Bahri Ethan Dyer Jared Kaplan Jaehoon Lee Utkarsh Sharma 48 256 0 12 Feb 2021
Every Model Learned by Gradient Descent Is Approximately a Kernel Machine Pedro M. Domingos MLT 60 72 0 30 Nov 2020
On Information Gain and Regret Bounds in Gaussian Process Bandits Sattar Vakili Kia Khezeli Victor Picheny GP 48 130 0 15 Sep 2020
A Fine-Grained Spectral Perspective on Neural Networks Greg Yang Hadi Salman 63 113 0 24 Jul 2019
Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm S. Spigler Mario Geiger Matthieu Wyart 50 38 0 26 May 2019
Optimal Rates For Regularization Of Statistical Inverse Learning Problems Gilles Blanchard Nicole Mücke 427 143 0 14 Apr 2016