Learning Integral Representations of Gaussian Processes

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Learning Integral Representations of Gaussian Processes

21 February 2018

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Papers citing "Learning Integral Representations of Gaussian Processes"

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Title
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences Motonobu Kanagawa Philipp Hennig Dino Sejdinovic Bharath K. Sriperumbudur GP BDL 144 344 0 06 Jul 2018
To understand deep learning we need to understand kernel learning M. Belkin Siyuan Ma Soumik Mandal 68 420 0 05 Feb 2018
Approximation beats concentration? An approximation view on inference with smooth radial kernels M. Belkin 95 69 0 10 Jan 2018
Bayesian Approximate Kernel Regression with Variable Selection Lorin Crawford K. Wood Xiaoping Zhou Sayan Mukherjee 58 44 0 05 Aug 2015
Expectation Propagation for approximate Bayesian inference T. Minka 137 1,909 0 10 Jan 2013
Variable noise and dimensionality reduction for sparse Gaussian processes Edward Snelson Zoubin Ghahramani 107 79 0 27 Jun 2012
Principal support vector machines for linear and nonlinear sufficient dimension reduction Bing Li A. Artemiou Lexin Li 91 105 0 13 Mar 2012
Kernel dimension reduction in regression Kenji Fukumizu Francis R. Bach Michael I. Jordan 224 313 0 13 Aug 2009