Statistical Mechanics of High-Dimensional Inference

18 January 2016

Papers citing "Statistical Mechanics of High-Dimensional Inference"

9 / 9 papers shown

Title
Contrasting random and learned features in deep Bayesian linear regression Jacob A. Zavatone-Veth William L. Tong C. Pehlevan BDL MLT 28 26 0 01 Mar 2022
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
$Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis$ Ising Model Selection Using $\ell_{1}$ -Regularized Linear Regression: A Statistical Mechanics Analysis Xiangming Meng T. Obuchi Y. Kabashima 26 4 0 08 Feb 2021
$A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum-$\ell_1$-Norm Interpolated Classifiers$ A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum- $\ell_1$ -Norm Interpolated Classifiers Tengyuan Liang Pragya Sur 27 68 0 05 Feb 2020
Fundamental Barriers to High-Dimensional Regression with Convex Penalties Michael Celentano Andrea Montanari 33 46 0 25 Mar 2019
Approximate Survey Propagation for Statistical Inference F. Antenucci Florent Krzakala Pierfrancesco Urbani Lenka Zdeborová 29 21 0 03 Jul 2018
Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior Charles H. Martin Michael W. Mahoney AI4CE 22 62 0 26 Oct 2017
High-dimensional dynamics of generalization error in neural networks Madhu S. Advani Andrew M. Saxe AI4CE 33 463 0 10 Oct 2017
An equivalence between high dimensional Bayes optimal inference and M-estimation Madhu S. Advani Surya Ganguli 21 16 0 22 Sep 2016