Hoyer, Patrik O.

22 publications

AISTATS 2013 Data-Driven Covariate Selection for Nonparametric Estimation of Causal Effects Doris Entner, Patrik O. Hoyer, Peter Spirtes

UAI 2013 Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure Antti Hyttinen, Patrik O. Hoyer, Frederick Eberhardt, Matti Järvisalo

JMLR 2013 Experiment Selection for Causal Discovery Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer

UAI 2012 Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer

JMLR 2012 Learning Linear Cyclic Causal Models with Latent Variables Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer

JMLR 2011 DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen

UAI 2011 Noisy-or Models with Latent Confounding Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer

JMLR 2010 Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity Aapo Hyvärinen, Kun Zhang, Shohei Shimizu, Patrik O. Hoyer

ICML 2010 Telling Cause from Effect Based on High-Dimensional Observations Dominik Janzing, Patrik O. Hoyer, Bernhard Schölkopf

UAI 2009 Bayesian Discovery of Linear Acyclic Causal Models Patrik O. Hoyer, Antti Hyttinen

UAI 2008 Causal Discovery of Linear Acyclic Models with Arbitrary Distributions Patrik O. Hoyer, Aapo Hyvärinen, Richard Scheines, Peter Spirtes, Joseph D. Ramsey, Gustavo Lacerda, Shohei Shimizu

ICML 2008 Causal Modelling Combining Instantaneous and Lagged Effects: An Identifiable Model Based on Non-Gaussianity Aapo Hyvärinen, Shohei Shimizu, Patrik O. Hoyer

UAI 2008 Discovering Cyclic Causal Models by Independent Components Analysis Gustavo Lacerda, Peter Spirtes, Joseph D. Ramsey, Patrik O. Hoyer

NeurIPS 2008 Nonlinear Causal Discovery with Additive Noise Models Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas Peters, Bernhard Schölkopf

JMLR 2006 A Linear Non-Gaussian Acyclic Model for Causal Discovery Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen, Antti Kerminen

UAI 2005 Discovery of Non-Gaussian Linear Causal Models Using ICA Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer

JMLR 2004 Non-Negative Matrix Factorization with Sparseness Constraints Patrik O. Hoyer

NeurIPS 2002 Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior Patrik O. Hoyer, Aapo Hyvärinen

NeCo 2001 Topographic Independent Component Analysis Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki

NeCo 2000 Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces Aapo Hyvärinen, Patrik O. Hoyer

NeurIPS 1999 Emergence of Topography and Complex Cell Properties from Natural Images Using Extensions of ICA Aapo Hyvärinen, Patrik O. Hoyer

NeurIPS 1998 Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation Aapo Hyvärinen, Patrik O. Hoyer, Erkki Oja