Corander, Jukka

9 publications

JMLR 2024 Approximate Bayesian Inference from Noisy Likelihoods with Gaussian Process Emulated MCMC Marko Järvenpää, Jukka Corander

NeurIPSW 2020 Likelihood-Free Inference with Deep Gaussian Processes Alexander Aushev, Henri Pesonen, Markus Heinonen, Jukka Corander, Samuel Kaski

MLOSS 2018 ELFI: Engine for Likelihood-Free Inference Jarno Lintusaari, Henri Vuollekoski, Antti Kangasrääsiö, Kusti Skytén, Marko Järvenpää, Pekka Marttinen, Michael U. Gutmann, Aki Vehtari, Jukka Corander, Samuel Kaski

PGM 2018 Structure Learning for Bayesian Networks over Labeled DAGs Antti Hyttinen, Johan Pensar, Juha Kontinen, Jukka Corander

JMLR 2016 Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models Michael U. Gutmann, Jukka Corander

JMLR 2016 Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis Zhirong Yang, Jukka Corander, Erkki Oja

AISTATS 2014 Preface Samuel Kaski, Jukka Corander

NeurIPS 2013 Learning Chordal Markov Networks by Constraint Satisfaction Jukka Corander, Tomi Janhunen, Jussi Rintanen, Henrik Nyman, Johan Pensar

MLJ 2009 Bayesian Learning of Graphical Vector Autoregressions with Unequal Lag-Lengths Pekka Marttinen, Jukka Corander