55 citations · 257 across the 13 of their papers we have counts for
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cs.LG2012★ 12 cited
Discovery of non-gaussian linear causal models using ICA
Shohei Shimizu, Aapo Hyvarinen, Yutaka Kano +1
In recent years, several methods have been proposed for the discovery of causal structure from non-experimental data (Spirtes et al. 2000; Pearl 2000). Such methods make various as…
cs.LG2012
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…
cs.LG2004★ 25 cited
Non-negative matrix factorization with sparseness constraints
Patrik O. Hoyer
Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non-negative data. Although it has successfully been ap…