Patrik O. Hoyer

Publication Activity (10 Years)

Years Active: 1998-2013
Publications (10 Years): 0

Top Venues

CoRR

AISTATS

J. Mach. Learn. Res.

UAI

Aalto University, Helsinki, Finland (PHD)

Education History

Aalto University, Helsinki, Finland

PHD

Publications

Antti Hyttinen, Patrik O. Hoyer, Frederick Eberhardt, Matti Järvisalo
Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure. UAI (2013)
Doris Entner, Patrik O. Hoyer, Peter Spirtes
Data-driven covariate selection for nonparametric estimation of causal effects. AISTATS (2013)
Antti Hyttinen, Patrik O. Hoyer, Frederick Eberhardt, Matti Järvisalo
Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure. CoRR (2013)
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
Experiment selection for causal discovery. J. Mach. Learn. Res. 14 (1) (2013)
Doris Entner, Patrik O. Hoyer
Estimating a Causal Order among Groups of Variables in Linear Models. ICANN (2) (2012)
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
Noisy-OR Models with Latent Confounding CoRR (2012)
Patrik O. Hoyer, Antti Hyttinen
Bayesian Discovery of Linear Acyclic Causal Models CoRR (2012)
Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer
Discovery of non-gaussian linear causal models using ICA CoRR (2012)
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables. UAI (2012)
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
Learning linear cyclic causal models with latent variables. J. Mach. Learn. Res. 13 (2012)
Gustavo Lacerda, Peter Spirtes, Joseph D. Ramsey, Patrik O. Hoyer
Discovering Cyclic Causal Models by Independent Components Analysis CoRR (2012)
Patrik O. Hoyer, Aapo Hyvärinen, Richard Scheines, Peter Spirtes, Joseph D. Ramsey, Gustavo Lacerda, Shohei Shimizu
Causal discovery of linear acyclic models with arbitrary distributions CoRR (2012)
Doris Entner, Patrik O. Hoyer, Peter Spirtes
Statistical test for consistent estimation of causal effects in linear non-Gaussian models. AISTATS (2012)
Doris Entner, Patrik O. Hoyer
Estimating a Causal Order among Groups of Variables in Linear Models CoRR (2012)
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables CoRR (2012)
Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen
DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model. J. Mach. Learn. Res. 12 (2011)
Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer
Noisy-OR Models with Latent Confounding. UAI (2011)
Alessio Moneta, Nadine Chlass, Doris Entner, Patrik O. Hoyer
Causal Search in Structural Vector Autoregressive Models. NIPS Mini-Symposium on Causality in Time Series (2011)
Aapo Hyvärinen, Kun Zhang, Shohei Shimizu, Patrik O. Hoyer
Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity. J. Mach. Learn. Res. 11 (2010)
Frederick Eberhardt, Patrik O. Hoyer, Richard Scheines
Combining Experiments to Discover Linear Cyclic Models with Latent Variables. AISTATS (2010)
Doris Entner, Patrik O. Hoyer
Discovering Unconfounded Causal Relationships Using Linear Non-Gaussian Models. JSAI-isAI Workshops (2010)
Dominik Janzing, Patrik O. Hoyer, Bernhard Schölkopf
Telling cause from effect based on high-dimensional observations. ICML (2010)
Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen
Estimation of linear non-Gaussian acyclic models for latent factors. Neurocomputing 72 (7-9) (2009)
Patrik O. Hoyer, Antti Hyttinen
Bayesian Discovery of Linear Acyclic Causal Models. UAI (2009)
Gustavo Lacerda, Peter Spirtes, Joseph D. Ramsey, Patrik O. Hoyer
Discovering Cyclic Causal Models by Independent Components Analysis. UAI (2008)
Patrik O. Hoyer, Aapo Hyvärinen, Richard Scheines, Peter Spirtes, Joseph D. Ramsey, Gustavo Lacerda, Shohei Shimizu
Causal discovery of linear acyclic models with arbitrary distributions. UAI (2008)
Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas Peters, Bernhard Schölkopf
Nonlinear causal discovery with additive noise models. NIPS (2008)
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen, Markus Palviainen
Estimation of causal effects using linear non-Gaussian causal models with hidden variables. Int. J. Approx. Reason. 49 (2) (2008)
Aapo Hyvärinen, Shohei Shimizu, Patrik O. Hoyer
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity. ICML (2008)
Maria Asunción Vicente, Patrik O. Hoyer, Aapo Hyvärinen
Equivalence of Some Common Linear Feature Extraction Techniques for Appearance-Based Object Recognition Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 29 (5) (2007)
Patrik O. Hoyer, Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Antti J. Kerminen
New Permutation Algorithms for Causal Discovery Using ICA. ICA (2006)
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables CoRR (2006)
Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer, Antti J. Kerminen
Testing Significance of Mixing and Demixing Coefficients in ICA. ICA (2006)
Shohei Shimizu, Aapo Hyvärinen, Patrik O. Hoyer, Yutaka Kano
Finding a causal ordering via independent component analysis. Comput. Stat. Data Anal. 50 (11) (2006)
Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen, Antti J. Kerminen
A Linear Non-Gaussian Acyclic Model for Causal Discovery. J. Mach. Learn. Res. 7 (2006)
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen
Estimation of linear, non-gaussian causal models in the presence of confounding latent variables. Probabilistic Graphical Models (2006)
Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer
Discovery of Non-gaussian Linear Causal Models using ICA. UAI (2005)
Patrik O. Hoyer
Non-negative Matrix Factorization with Sparseness Constraints. J. Mach. Learn. Res. 5 (2004)
Patrik O. Hoyer
Non-negative matrix factorization with sparseness constraints CoRR (2004)
Patrik O. Hoyer
Modeling receptive fields with non-negative sparse coding. Neurocomputing (2003)
Patrik O. Hoyer, Aapo Hyvärinen
Sparse coding of natural contours. Neurocomputing (2002)
Patrik O. Hoyer
Non-negative sparse coding CoRR (2002)
Patrik O. Hoyer
Non-negative sparse coding. NNSP (2002)
Patrik O. Hoyer, Aapo Hyvärinen
Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior. NIPS (2002)
Aapo Hyvärinen, Patrik O. Hoyer
Topographic independent component analysis as a model of V1 organization and receptive fields. Neurocomputing (2001)
Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki
Topographic Independent Component Analysis. Neural Comput. 13 (7) (2001)
Dirk Hoyer, Patrik O. Hoyer, Ulrich Zwiener
A new approach to uncover dynamic phase coordination and synchronization. IEEE Trans. Biomed. Eng. 47 (1) (2000)
Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki
Topographic ICA as a Model of Natural Image Statistics. Biologically Motivated Computer Vision (2000)
Aapo Hyvärinen, Patrik O. Hoyer
Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces. Neural Comput. 12 (7) (2000)
Patrik O. Hoyer, Aapo Hyvärinen
Feature Extraction from Color and Stereo Images Using ICA. IJCNN (3) (2000)
Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki
Topographic ICA as a Model of V1 Receptive Fields. IJCNN (4) (2000)
Patrik O. Hoyer, Aapo Hyvärinen
Estimating signal-adapted wavelets using sparseness criteria. IJCNN (1999)
Erkki Oja, Aapo Hyvärinen, Patrik O. Hoyer
Image Feature Extraction and Denoising by Sparse Coding. Pattern Anal. Appl. 2 (2) (1999)
Aapo Hyvärinen, Patrik O. Hoyer
Emergence of Topography and Complex Cell Properties from Natural Images using Extensions of ICA. NIPS (1999)
Aapo Hyvärinen, Patrik O. Hoyer
Independent subspace analysis shows emergence of phase and shift invariant features from natural images. IJCNN (1999)
Aapo Hyvärinen, Erkki Oja, Patrik O. Hoyer, Jarmo Hurri
Image feature extraction by sparse coding and independent component analysis. ICPR (1998)
Aapo Hyvärinen, Patrik O. Hoyer, Erkki Oja
Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation. NIPS (1998)

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Publication Activity (10 Years)

Top Topics

Top Venues

Patrik O. Hoyer