Jylänki, Pasi

7 publications

JMLR 2020 Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data Aki Vehtari, Andrew Gelman, Tuomas Sivula, Pasi Jylänki, Dustin Tran, Swupnil Sahai, Paul Blomstedt, John P. Cunningham, David Schiminovich, Christian P. Robert

AISTATS 2014 Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables Tomi Peltola, Pasi Jylänki, Aki Vehtari

JMLR 2014 Expectation Propagation for Neural Networks with Sparsity-Promoting Priors Pasi Jylänki, Aapo Nummenmaa, Aki Vehtari

MLOSS 2013 GPstuff: Bayesian Modeling with Gaussian Processes Jarno Vanhatalo, Jaakko Riihimäki, Jouni Hartikainen, Pasi Jylänki, Ville Tolvanen, Aki Vehtari

JMLR 2013 Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood Jaakko Riihimäki, Pasi Jylänki, Aki Vehtari

JMLR 2011 Robust Gaussian Process Regression with a Student-T Likelihood Pasi Jylänki, Jarno Vanhatalo, Aki Vehtari

NeurIPS 2009 Gaussian Process Regression with Student-T Likelihood Jarno Vanhatalo, Pasi Jylänki, Aki Vehtari