GaussianProcesses.jl: A Nonparametric Bayes package for the Julia
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GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language

21 December 2018

Jamie Fairbrother

Christopher Nemeth

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Papers citing "GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language"

12 / 12 papers shown

Title
Stein Variational Gaussian Processes Thomas Pinder Christopher Nemeth David Leslie BDL 27 7 0 25 Sep 2020
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models Théo Galy-Fajou F. Wenzel Manfred Opper 40 4 0 26 Feb 2020
Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem Mathieu Besançon Theodore Papamarkou D. Anthoff Alex Arslan Simon Byrne Dahua Lin John Pearson GP 59 81 0 19 Jul 2019
GPflow: A Gaussian process library using TensorFlow A. G. Matthews Mark van der Wilk T. Nickson Keisuke Fujii A. Boukouvalas Pablo León-Villagrá Zoubin Ghahramani J. Hensman GP 78 666 0 27 Oct 2016
Differentiation of the Cholesky decomposition Iain Murray 67 39 0 24 Feb 2016
Thoughts on Massively Scalable Gaussian Processes A. Wilson Christoph Dann H. Nickisch 85 110 0 05 Nov 2015
MCMC for Variationally Sparse Gaussian Processes J. Hensman A. G. Matthews Maurizio Filippone Zoubin Ghahramani 66 141 0 12 Jun 2015
Gaussian Processes for Data-Efficient Learning in Robotics and Control M. Deisenroth Dieter Fox C. Rasmussen 122 695 0 10 Feb 2015
Variational Inference for Gaussian Process Modulated Poisson Processes C. Lloyd Tom Gunter Michael A. Osborne Stephen J. Roberts 77 117 0 02 Nov 2014
Structure Discovery in Nonparametric Regression through Compositional Kernel Search David Duvenaud J. Lloyd Roger C. Grosse J. Tenenbaum Zoubin Ghahramani 93 511 0 20 Feb 2013
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,283 0 09 Jun 2012
Slice sampling covariance hyperparameters of latent Gaussian models Iain Murray Ryan P. Adams 107 232 0 04 Jun 2010