Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes

8 November 2021

Papers citing "Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes"

13 / 13 papers shown

Title
Scalable Cross Validation Losses for Gaussian Process Models M. Jankowiak Geoff Pleiss 56 6 0 24 May 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 311 718 0 31 Jan 2021
On the Origin of Implicit Regularization in Stochastic Gradient Descent Samuel L. Smith Benoit Dherin David Barrett Soham De MLT 36 203 0 28 Jan 2021
Exact Gaussian Processes on a Million Data Points Ke Alexander Wang Geoff Pleiss Jacob R. Gardner Stephen Tyree Kilian Q. Weinberger A. Wilson GP 45 230 0 19 Mar 2019
Rao-Blackwellized Stochastic Gradients for Discrete Distributions Runjing Liu Jeffrey Regier Nilesh Tripuraneni Michael I. Jordan Jon D. McAuliffe 52 32 0 10 Oct 2018
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution Topi Paananen Juho Piironen Michael Riis Andersen Aki Vehtari 101 51 0 21 Dec 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 161 479 0 24 May 2017
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 264 4,787 0 04 Jan 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 240 885 0 06 Nov 2015
Bayesian linear regression with sparse priors I. Castillo Johannes Schmidt-Hieber A. van der Vaart 159 379 0 04 Mar 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 134 1,166 0 31 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 450 16,940 0 20 Dec 2013
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 104 1,230 0 26 Sep 2013