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Editors: Neil D. Lawrence, Anton Schwaighofer, Joaquin Quiñonero Candela
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Gaussian Process Approximations of Stochastic Differential Equations
; Gaussian Processes in Practice, PMLR 1:1-16
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Multi-class Semi-supervised Learning with the $\epsilon$-truncated Multinomial Probit Gaussian Process
Simon Rogers, Mark Girolami; Gaussian Processes in Practice, PMLR 1:17-32
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Learning RoboCup-Keepaway with Kernels
Tobias Jung, Daniel Polani; Gaussian Processes in Practice, PMLR 1:33-57
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Salient Point and Scale Detection by Minimum Likelihood
Kim S. Pedersen, Marco Loog, Pieter Dorst; Gaussian Processes in Practice, PMLR 1:59-72
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Sparse Log Gaussian Processes via MCMC for Spatial Epidemiology
Jarno Vanhatalo, Aki Vehtari; Gaussian Processes in Practice, PMLR 1:73-89
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