Learning inducing points and uncertainty on molecular data by scalable
variational Gaussian processes

v1v2v3 (latest)

Learning inducing points and uncertainty on molecular data by scalable variational Gaussian processes

16 July 2022

Mikhail Tsitsvero

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Papers citing "Learning inducing points and uncertainty on molecular data by scalable variational Gaussian processes"

6 / 6 papers shown

Title
Learning in High Dimension Always Amounts to Extrapolation Randall Balestriero J. Pesenti Yann LeCun 129 104 0 18 Oct 2021
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 98 106 0 03 Apr 2019
Scalable Variational Gaussian Process Classification J. Hensman A. G. Matthews Zoubin Ghahramani BDL 83 646 0 07 Nov 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 156 1,168 0 31 Dec 2013
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 113 1,236 0 26 Sep 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 277 2,628 0 29 Jun 2012

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