Joris M. Mooij

	2012
27		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. 182-183: 1-31 (2012)
26		Jonas Peters, Joris M. Mooij, Dominik Janzing, Bernhard Schölkopf: Identifiability of Causal Graphs using Functional Models CoRR abs/1202.3757: (2012)
25		Povilas Daniusis, Dominik Janzing, Joris M. Mooij, Jakob Zscheischler, Bastian Steudel, Kun Zhang, Bernhard Schölkopf: Inferring deterministic causal relations CoRR abs/1203.3475: (2012)
24		Dominik Janzing, Jonas Peters, Joris M. Mooij, Bernhard Schölkopf: Identifying confounders using additive noise models CoRR abs/1205.2640: (2012)
	2011
23		John A. Quinn, Joris M. Mooij, Tom Heskes, Michael Biehl: Learning of causal relations. ESANN 2011
22		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: 630-638
21		Joris M. Mooij, Dominik Janzing, Tom Heskes, Bernhard Schölkopf: On Causal Discovery with Cyclic Additive Noise Models. NIPS 2011: 639-647
20		Jonas Peters, Joris M. Mooij, Dominik Janzing, Bernhard Schölkopf: Identifiability of Causal Graphs using Functional Models. UAI 2011: 589-598
19		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 23(1): 160-182 (2011)
	2010
18		Joris M. Mooij, Oliver Stegle, Dominik Janzing, Kun Zhang, Bernhard Schölkopf: Probabilistic latent variable models for distinguishing between cause and effect. NIPS 2010: 1687-1695
17		Povilas Daniusis, Dominik Janzing, Joris M. Mooij, Jakob Zscheischler, Bastian Steudel, Kun Zhang, Bernhard Schölkopf: Inferring deterministic causal relations. UAI 2010: 143-150
16		Joris M. Mooij: libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models. Journal of Machine Learning Research 11: 2169-2173 (2010)
15		Joris M. Mooij, Dominik Janzing: Distinguishing between cause and effect. Journal of Machine Learning Research - Proceedings Track 6: 147-156 (2010)
	2009
14		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: 94
13		Dominik Janzing, Jonas Peters, Joris M. Mooij, Bernhard Schölkopf: Identifying confounders using additive noise models. UAI 2009: 249-257
	2008
12		Joris M. Mooij, Hilbert J. Kappen: Bounds on marginal probability distributions. NIPS 2008: 1105-1112
11		Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas Peters, Bernhard Schölkopf: Nonlinear causal discovery with additive noise models. NIPS 2008: 689-696
	2007
10		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: 456-460
9		Joris M. Mooij, Hilbert J. Kappen: Sufficient Conditions for Convergence of the Sum-Product Algorithm. IEEE Transactions on Information Theory 53(12): 4422-4437 (2007)
8		Joris M. Mooij, Hilbert J. Kappen: Loop Corrections for Approximate Inference on Factor Graphs. Journal of Machine Learning Research 8: 1113-1143 (2007)
7		Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen: Truncating the Loop Series Expansion for Belief Propagation. Journal of Machine Learning Research 8: 1987-2016 (2007)
6		Joris M. Mooij, Bastian Wemmenhove, Bert Kappen, Tommaso Rizzo: Loop Corrected Belief Propagation. Journal of Machine Learning Research - Proceedings Track 2: 331-338 (2007)
	2006
5		Joris M. Mooij, Bert Kappen: Loop corrections for approximate inference CoRR abs/cs/0612030: (2006)
4		Vicenç Gómez, Joris M. Mooij, Hilbert J. Kappen: Truncating the loop series expansion for Belief Propagation CoRR abs/cs/0612109: (2006)
	2005
3		Joris M. Mooij, Hilbert J. Kappen: Sufficient Conditions for Convergence of Loopy Belief Propagation. UAI 2005: 396-403
2		Joris M. Mooij, Hilbert J. Kappen: Sufficient conditions for convergence of the Sum-Product Algorithm CoRR abs/cs/0504030: (2005)
	2004
1		Joris M. Mooij, Hilbert J. Kappen: Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks. NIPS 2004

Coauthor Index

1	Michael Biehl	[23]
2	Karsten M. Borgwardt	[22]
3	Povilas Daniusis	[17] [25] [27]
4	Jason Farquhar	[19]
5	Vicenç Gómez	[4] [7]
6	Tom Heskes	[21] [23]
7	N. Jeremy Hill	[19]
8	Patrik O. Hoyer	[11]
9	Dominik Janzing	[11] [13] [14] [15] [17] [18] [20] [21] [24] [25] [26] [27]
10	Hilbert J. Kappen (Bert Kappen)	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [12]
11	Neil D. Lawrence	[22]
12	Martijn A. R. Leisink	[10]
13	Jan Lemeire	[27]
14	Christoph Lippert	[22]
15	Suzanna Martens	[19]
16	Jan P. Neijt	[10]
17	Jonas Peters	[11] [13] [14] [20] [24] [26]
18	John A. Quinn (John Alexander Quinn)	[23]
19	Tommaso Rizzo	[6]
20	Bernhard Schölkopf	[11] [13] [14] [17] [18] [19] [20] [21] [24] [25] [26] [27]
21	Oliver Stegle	[18] [22]
22	Bastian Steudel	[17] [25] [27]
23	Bastian Wemmenhove	[6] [10]
24	Wim Wiegerinck	[10]
25	Kun Zhang	[17] [18] [25] [27]
26	Jakob Zscheischler	[17] [25] [27]

Last update Mon Jun 4 20:40:43 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page