36 citations · 109 across the 10 of their papers we have counts for
3 papers · 1 filter
Binary Independent Component Analysis: A Non-stationarity-based Approach
Antti Hyttinen, Vitória Barin-Pacela, Aapo Hyvärinen
We consider independent component analysis of binary data. While fundamental in practice, this case has been much less developed than ICA for continuous data. We start by assuming…
Towards Scalable Bayesian Learning of Causal DAGs
Jussi Viinikka, Antti Hyttinen, Johan Pensar +1
We give methods for Bayesian inference of directed acyclic graphs, DAGs, and the induced causal effects from passively observed complete data. Our methods build on a recent Markov…
Noisy-OR Models with Latent Confounding
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
Given a set of experiments in which varying subsets of observed variables are subject to intervention, we consider the problem of identifiability of causal models exhibiting latent…