Generalized Variational Inference in Function Spaces: Gaussian Measures
meet Bayesian Deep Learning

Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning

12 May 2022

Dino Sejdinovic

Papers citing "Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning"

15 / 15 papers shown

Title
Variational Gaussian Processes: A Functional Analysis View Veit Wild George Wynne GP 66 5 0 25 Oct 2021
Bayesian Neural Network Priors Revisited Vincent Fortuin Adrià Garriga-Alonso Sebastian W. Ober F. Wenzel Gunnar Rätsch Richard Turner Mark van der Wilk Laurence Aitchison BDL UQCV 99 140 0 12 Feb 2021
Sparse Gaussian Processes with Spherical Harmonic Features Vincent Dutordoir N. Durrande J. Hensman 64 55 0 30 Jun 2020
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 69 106 0 03 Apr 2019
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
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 82 807 0 07 Feb 2019
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam Mohammad Emtiyaz Khan Didrik Nielsen Voot Tangkaratt Wu Lin Y. Gal Akash Srivastava ODL 146 270 0 13 Jun 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions Jiaxin Shi Shengyang Sun Jun Zhu 54 92 0 07 Jun 2018
Variational Implicit Processes Chao Ma Yingzhen Li José Miguel Hernández-Lobato BDL 80 70 0 06 Jun 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 268 8,876 0 25 Aug 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 352 4,704 0 15 Mar 2017
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 60 200 0 21 Nov 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 240 885 0 06 Nov 2015
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 104 908 0 17 Feb 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 101 1,230 0 26 Sep 2013