Aggregating Dependent Gaussian Experts in Local Approximation

Aggregating Dependent Gaussian Experts in Local Approximation

17 October 2020

Gjergji Kasneci

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Papers citing "Aggregating Dependent Gaussian Experts in Local Approximation"

9 / 9 papers shown

Title
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression Haitao Liu Jianfei Cai Yi Wang Yew-Soon Ong 73 83 0 03 Jun 2018
Network Inference via the Time-Varying Graphical Lasso David Hallac Youngsuk Park Stephen P. Boyd J. Leskovec 79 203 0 06 Mar 2017
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 103 252 0 07 Jun 2016
Gaussian Process Random Fields David A. Moore Stuart J. Russell GP 42 19 0 31 Oct 2015
Distributed Gaussian Processes M. Deisenroth Jun Wei Ng GP 88 342 0 10 Feb 2015
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 113 1,236 0 26 Sep 2013
A Framework for Evaluating Approximation Methods for Gaussian Process Regression Krzysztof Chalupka Christopher K. I. Williams Iain Murray GP 130 169 0 29 May 2012
Kernels for Vector-Valued Functions: a Review Mauricio A. Alvarez Lorenzo Rosasco Neil D. Lawrence GP 218 930 0 30 Jun 2011
A Tutorial on Spectral Clustering U. V. Luxburg 290 10,550 0 01 Nov 2007

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