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Deep Structured Mixtures of Gaussian Processes

10 October 2019

Papers citing "Deep Structured Mixtures of Gaussian Processes"

20 / 20 papers shown

Title
SEEK: Self-adaptive Explainable Kernel For Nonstationary Gaussian Processes Nima Negarandeh Carlos Mora Ramin Bostanabad 90 0 0 18 Mar 2025
Enriched Mixtures of Gaussian Process Experts Charles W. L. Gadd S. Wade A. Boukouvalas 39 7 0 30 May 2019
Bayesian Learning of Sum-Product Networks Martin Trapp Robert Peharz Hong Ge Franz Pernkopf Zoubin Ghahramani TPM 71 51 0 26 May 2019
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation Théo Galy-Fajou F. Wenzel Christian Donner Manfred Opper 52 30 0 23 May 2019
Optimisation of Overparametrized Sum-Product Networks Martin Trapp Robert Peharz Franz Pernkopf TPM 35 4 0 20 May 2019
Rates of Convergence for Sparse Variational Gaussian Process Regression David R. Burt C. Rasmussen Mark van der Wilk 66 155 0 08 Mar 2019
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 103 693 0 03 Jul 2018
An asymptotic analysis of distributed nonparametric methods Botond Szabó Harry Van Zanten 56 46 0 08 Nov 2017
Embarrassingly Parallel Inference for Gaussian Processes M. Zhang Sinead Williamson 67 25 0 27 Feb 2017
On the Latent Variable Interpretation in Sum-Product Networks Robert Peharz Robert Gens Franz Pernkopf Pedro M. Domingos TPM 41 132 0 22 Jan 2016
String and Membrane Gaussian Processes Yves-Laurent Kom Samo Stephen J. Roberts 59 18 0 24 Jul 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) A. Wilson H. Nickisch GP 86 515 0 03 Mar 2015
Distributed Gaussian Processes M. Deisenroth Jun Wei Ng GP 84 342 0 10 Feb 2015
On the Relationship between Sum-Product Networks and Bayesian Networks Haiying Zhao Mazen Melibari Pascal Poupart TPM 108 91 0 06 Jan 2015
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions Yanshuai Cao David J. Fleet 69 186 0 28 Oct 2014
Approximate Inference for Nonstationary Heteroscedastic Gaussian process Regression Ville Tolvanen Pasi Jylänki Aki Vehtari 63 61 0 22 Apr 2014
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models Y. Gal Mark van der Wilk C. Rasmussen 86 150 0 06 Feb 2014
A Differential Approach to Inference in Bayesian Networks Adnan Darwiche TPM 97 624 0 16 Jan 2013
Sum-Product Networks: A New Deep Architecture Hoifung Poon Pedro M. Domingos TPM 83 761 0 14 Feb 2012
Bayesian treed Gaussian process models with an application to computer modeling R. Gramacy Herbert K. H. Lee 221 680 0 24 Oct 2007