Patrik O. Hoyer

University of Helsinki — Finland

Computer Science · Physical Sciences

33h-index8.7kcitations94works0.02yr avg
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Research Topics

Blind Source Separation Techniques(44), Bayesian Modeling and Causal Inference(31), Neural Networks and Applications(23), Neural dynamics and brain function(19), Visual perception and processing mechanisms(15)

Publications94 total

DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model
UNC Libraries·2021Open Access
Discovering Cyclic Causal Models with Latent Variables: A General\n SAT-Based Procedure
arXiv (Cornell University)·2013· 30 citedOpen Access
Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure
arXiv (Cornell University)·2013· 37 citedOpen Access
Data-driven covariate selection for nonparametric estimation of causal effects
International Conference on Artificial Intelligence and Statistics·2013· 37 cited
Experiment selection for causal discovery
Journal of Machine Learning Research·2013· 57 cited
Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables
arXiv (Cornell University)·2012· 6 citedOpen Access
Causal Discovery of Linear Cyclic Models from Multiple Experimental Data\n Sets with Overlapping Variables
arXiv (Cornell University)·2012Open Access
Causal Inference by Independent Component Analysis: Theory and Applications*
Oxford Bulletin of Economics and Statistics·2012· 183 citedOpen Access
Estimating a Causal Order among Groups of Variables in Linear Models
arXiv (Cornell University)·2012· 4 citedOpen Access
Discovery of non-gaussian linear causal models using ICA
arXiv (Cornell University)·2012· 12 citedOpen Access
Causal discovery of linear acyclic models with arbitrary distributions
arXiv (Cornell University)·2012· 15 citedOpen Access
Discovering Cyclic Causal Models by Independent Components Analysis
arXiv (Cornell University)·2012· 45 citedOpen Access
Causal discovery of linear acyclic models with arbitrary distributions
arXiv (Cornell University)·2012· 55 citedOpen Access
Bayesian Discovery of Linear Acyclic Causal Models
arXiv (Cornell University)·2012· 21 citedOpen Access
Bayesian Discovery of Linear Acyclic Causal Models
arXiv (Cornell University)·2012· 1 citedOpen Access
Statistical test for consistent estimation of causal effects in linear non-Gaussian models
International Conference on Artificial Intelligence and Statistics·2012· 17 cited
Noisy-OR Models with Latent Confounding
arXiv (Cornell University)·2012Open Access
Estimating a Causal Order among Groups of Variables in Linear Models
Lecture notes in computer science·2012· 12 cited
Learning linear cyclic causal models with latent variables
Journal of Machine Learning Research·2012· 94 cited
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model
arXiv (Cornell University)·2011· 1 citedOpen Access
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Frequent Co-authors

Aapo Hyvärinen(27), Shohei Shimizu(9), Jarmo Hurri(7), Doris Entner(6), Antti Hyttinen(5), Frederick Eberhardt(5), Peter Spirtes(5), Erkki Oja(4), Alessio Moneta(3), Richard Scheines(3), Joseph Ramsey(3), Gustavo Lacerda(3), Dominik Janzing(2), Alex Coad(2), Antti Kerminen(2), Matti J„ärvisalo(2), Yutaka Kano(2), Joris M. Mooij(1), Jonas Peters(1), Bernhard Schölkopf(1)