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Pasi Jylänki

Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data

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Mar 10, 2018
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Regularizing Solutions to the MEG Inverse Problem Using Space-Time Separable Covariance Functions

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Apr 17, 2016
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Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox

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Jul 15, 2015
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Approximate Inference for Nonstationary Heteroscedastic Gaussian process Regression

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Apr 22, 2014
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Expectation Propagation for Neural Networks with Sparsity-promoting Priors

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Mar 27, 2013
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Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood

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Jul 16, 2012
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Gaussian Process Regression with a Student-t Likelihood

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Jun 22, 2011
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