Variational Inference in high-dimensional linear regression

25 April 2021

Papers citing "Variational Inference in high-dimensional linear regression"

10 / 10 papers shown

Title
Bayesian inference in high-dimensional models Sayantan Banerjee I. Castillo S. Ghosal 97 23 0 12 Jan 2021
Spike and slab variational Bayes for high dimensional logistic regression Kolyan Ray Botond Szabó Gabriel Clara 84 29 0 22 Oct 2020
Surprises in High-Dimensional Ridgeless Least Squares Interpolation Trevor Hastie Andrea Montanari Saharon Rosset Robert Tibshirani 191 743 0 19 Mar 2019
TAP free energy, spin glasses, and variational inference Z. Fan Song Mei Andrea Montanari 31 26 0 23 Aug 2018
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression Arun K. Kuchibhotla Abhishek Chakrabortty 64 107 0 08 Apr 2018
Nearly optimal Bayesian Shrinkage for High Dimensional Regression Qifan Song F. Liang 57 78 0 24 Dec 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 121 208 0 09 May 2017
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 285 4,793 0 04 Jan 2016
Bayesian linear regression with sparse priors I. Castillo Johannes Schmidt-Hieber A. van der Vaart 175 380 0 04 Mar 2014
Asymptotic normality and valid inference for Gaussian variational approximation P. Hall Tung H. Pham M. Wand S. S. J. Wang 74 61 0 23 Feb 2012