Search results for "Joris M. Mooij"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Jonas Peters, Joris M. Mooij, Dominik Janzing, Bernhard Schölkopf	Identifiability of Causal Graphs using Functional Models	CoRR	2012	DBLP BibTeX RDF
1	Povilas Daniusis, Dominik Janzing, Joris M. Mooij, Jakob Zscheischler, Bastian Steudel, Kun Zhang, Bernhard Schölkopf	Inferring deterministic causal relations	CoRR	2012	DBLP BibTeX RDF
1	Dominik Janzing, Joris M. Mooij, Kun Zhang, Jan Lemeire, Jakob Zscheischler, Povilas Daniusis, Bastian Steudel, Bernhard Schölkopf	Information-geometric approach to inferring causal directions.	Artif. Intell.	2012	DBLP DOI BibTeX RDF
1	Suzanna Martens, Joris M. Mooij, N. Jeremy Hill, Jason Farquhar, Bernhard Schölkopf	A Graphical Model Framework for Decoding in the Visual ERP-Based BCI Speller.	Neural Computation	2011	DBLP DOI BibTeX RDF
1	John A. Quinn, Joris M. Mooij, Tom Heskes, Michael Biehl	Learning of causal relations.	ESANN	2011	DBLP BibTeX RDF
1	Jonas Peters, Joris M. Mooij, Dominik Janzing, Bernhard Schölkopf	Identifiability of Causal Graphs using Functional Models.	UAI	2011	DBLP BibTeX RDF
1	Joris M. Mooij, Dominik Janzing, Tom Heskes, Bernhard Schölkopf	On Causal Discovery with Cyclic Additive Noise Models.	NIPS	2011	DBLP BibTeX RDF
1	Oliver Stegle, Christoph Lippert, Joris M. Mooij, Neil D. Lawrence, Karsten M. Borgwardt	Efficient inference in matrix-variate Gaussian models with \iid observation noise.	NIPS	2011	DBLP BibTeX RDF
1	Joris M. Mooij, Dominik Janzing	Distinguishing between cause and effect.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Joris M. Mooij	libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models.	Journal of Machine Learning Research	2010	DBLP BibTeX RDF
1	Povilas Daniusis, Dominik Janzing, Joris M. Mooij, Jakob Zscheischler, Bastian Steudel, Kun Zhang, Bernhard Schölkopf	Inferring deterministic causal relations.	UAI	2010	DBLP BibTeX RDF
1	Joris M. Mooij, Oliver Stegle, Dominik Janzing, Kun Zhang, Bernhard Schölkopf	Probabilistic latent variable models for distinguishing between cause and effect.	NIPS	2010	DBLP BibTeX RDF
1	Joris M. Mooij, Dominik Janzing, Jonas Peters, Bernhard Schölkopf	Regression by dependence minimization and its application to causal inference in additive noise models.	ICML	2009	DBLP DOI BibTeX RDF
1	Dominik Janzing, Jonas Peters, Joris M. Mooij, Bernhard Schölkopf	Identifying confounders using additive noise models.	UAI	2009	DBLP BibTeX RDF
1	Joris M. Mooij, Hilbert J. Kappen	Bounds on marginal probability distributions.	NIPS	2008	DBLP BibTeX RDF
1	Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas Peters, Bernhard Schölkopf	Nonlinear causal discovery with additive noise models.	NIPS	2008	DBLP BibTeX RDF
1	Joris M. Mooij, Bastian Wemmenhove, Bert Kappen, Tommaso Rizzo	Loop Corrected Belief Propagation.	Journal of Machine Learning Research - Proceedings Track	2007	DBLP BibTeX RDF
1	Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen	Truncating the Loop Series Expansion for Belief Propagation.	Journal of Machine Learning Research	2007	DBLP BibTeX RDF
1	Joris M. Mooij, Hilbert J. Kappen	Loop Corrections for Approximate Inference on Factor Graphs.	Journal of Machine Learning Research	2007	DBLP BibTeX RDF
1	Joris M. Mooij, Hilbert J. Kappen	Sufficient Conditions for Convergence of the Sum-Product Algorithm.	IEEE Transactions on Information Theory	2007	DBLP DOI BibTeX RDF
1	Bastian Wemmenhove, Joris M. Mooij, Wim Wiegerinck, Martijn A. R. Leisink, Hilbert J. Kappen, Jan P. Neijt	Inference in the Promedas Medical Expert System.	AIME	2007	DBLP DOI BibTeX RDF
1	Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen	Truncating the loop series expansion for Belief Propagation	CoRR	2006	DBLP BibTeX RDF
1	Joris M. Mooij, Bert Kappen	Loop corrections for approximate inference	CoRR	2006	DBLP BibTeX RDF
1	Joris M. Mooij, Hilbert J. Kappen	Sufficient conditions for convergence of the Sum-Product Algorithm	CoRR	2005	DBLP BibTeX RDF
1	Joris M. Mooij, Hilbert J. Kappen	Sufficient Conditions for Convergence of Loopy Belief Propagation.	UAI	2005	DBLP BibTeX RDF
1	Joris M. Mooij, Hilbert J. Kappen	Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks.	NIPS	2004	DBLP BibTeX RDF

Publications of "Joris M. Mooij" ( http://dblp.L3S.de/Authors/Joris_M._Mooij )