Aleksis Vuoksenmaa

2 accepted papers

2019

Exact Sampling of Directed Acyclic Graphs from Modular Distributions

Topi Talvitie, Aleksis Vuoksenmaa, Mikko Koivisto

UAI 2019poster

We consider the problem of sampling directed acyclic graphs (DAGs) from a given distribution. We assume the sampling distribution is modular, i.e., the probability of a DAG is a product of local factors, each of which only depends on a node and its parents in the DAG. Using inclusion–exclusion recur…

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2019

On Structure Priors for Learning Bayesian Networks

Ralf Eggeling, Jussi Viinikka, Aleksis Vuoksenmaa, Mikko Koivisto

AISTATS 2019poster

To learn a Bayesian network structure from data, one popular approach is to maximize a decomposable likelihood-based score. While various scores have been proposed, they usually assume a uniform prior, or “penalty,” over the possible directed acyclic graphs (DAGs); relatively little attention has be…

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