On the inconsistency of ℓ 1-penalised sparse precision matrix estimation. - Otte Heinävaara; Janne Leppä-aho; Jukka Corander; Antti Honkela (BMC Bioinform., 2016)

On the inconsistency of ℓ1-penalised sparse precision matrix estimation. - Otte Heinävaara; Janne Leppä-aho; Jukka Corander; Antti Honkela (CoRR, 2016)

Learning Gaussian graphical models with fractional marginal pseudo-likelihood. - Janne Leppä-aho; Johan Pensar; Teemu Roos; Jukka Corander (Int. J. Approx. Reason., 2017)

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures. - Tomi Silander; Janne Leppä-aho; Elias Jääsaari; Teemu Roos (AISTATS, 2018)

Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets. - Elias Jääsaari; Janne Leppä-aho; Tomi Silander; Teemu Roos (ALT, 2018)

Learning Non-parametric Markov Networks with Mutual Information. - Janne Leppä-aho; Santeri Räisänen; Xiao Yang; Teemu Roos (PGM, 2018)

Methods for Learning Directed and Undirected Graphical Models. - Janne Leppä-aho (2020)