Algorithmic Linearly Constrained Gaussian Processes

28 January 2018

Papers citing "Algorithmic Linearly Constrained Gaussian Processes"

13 / 13 papers shown

Title
Scalable Lévy Process Priors for Spectral Kernel Learning Phillip A. Jang A. Loeb Matthew Davidow A. Wilson 32 36 0 02 Feb 2018
Scalable Log Determinants for Gaussian Process Kernel Learning Kun Dong David Eriksson H. Nickisch D. Bindel A. Wilson 49 95 0 09 Nov 2017
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 113 1,091 0 01 Nov 2017
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition Pavel Izmailov Alexander Novikov D. Kropotov 50 62 0 19 Oct 2017
Linearly constrained Gaussian processes Carl Jidling Niklas Wahlström A. Wills Thomas B. Schon 54 98 0 02 Mar 2017
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions Carl-Johann Simon-Gabriel Bernhard Schölkopf 31 92 0 18 Apr 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 224 885 0 06 Nov 2015
Thoughts on Massively Scalable Gaussian Processes A. Wilson Christoph Dann H. Nickisch 80 110 0 05 Nov 2015
Modeling and interpolation of the ambient magnetic field by Gaussian processes Arno Solin Manon Kok Niklas Wahlström Thomas B. Schon Simo Särkkä 29 119 0 15 Sep 2015
Gaussian Processes for Data-Efficient Learning in Robotics and Control M. Deisenroth Dieter Fox C. Rasmussen 98 690 0 10 Feb 2015
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 165 272 0 24 Feb 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 101 1,230 0 26 Sep 2013
Gaussian Process Kernels for Pattern Discovery and Extrapolation A. Wilson Ryan P. Adams GP 66 606 0 18 Feb 2013