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Journal Article (1)

1.
Journal Article
Sun, X.; Janzing, D.; Schölkopf, B.: Causal Reasoning by Evaluating the Complexity of Conditional Densities with Kernel Methods. Neurocomputing 71 (7-9), pp. 1248 - 1256 (2008)

Book (1)

2.
Book
Sun, X.: Causal inference from statistical data. Logos Verlag, Berlin, Germany (2008), 220 pp.

Conference Paper (9)

3.
Conference Paper
Fukumizu, K.; Gretton, A.; Sun, X.; Schölkopf, B.: Kernel Measures of Conditional Dependence. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, pp. 489 - 496 (Eds. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, December 03, 2007 - December 06, 2007. Curran, Red Hook, NY, USA (2008)
4.
Conference Paper
Sun, X.: Assessing Nonlinear Granger Causality from Multivariate Time Series. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, pp. 440 - 455 (Eds. Daelemans, W.; Goethals, B.; Morik, K.). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2008), Antwerpen, Belgium, September 15, 2008 - September 19, 2008. Springer, Berlin, Germany (2008)
5.
Conference Paper
Sun, X.: Distribution-free Learning of Bayesian Network Structure. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, pp. 423 - 439 (Eds. Daelemans, W.; Goethals, B.; Morik, K.). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2008), Antwerpen, Belgium, September 15, 2008 - September 19, 2008. Springer, Berlin, Germany (2008)
6.
Conference Paper
Sun, X.: A Kernel Test of Nonlinear Granger Causality. In: Workshop on Inference and Estimation in Probabilistic Time-Series Models, pp. 79 - 89 (Eds. Barber, D.; Cemgil, A.; Chiappa, S.). Workshop on Inference and Estimation in Probabilistic Time-Series Models, Cambridge, UK, June 18, 2008 - June 20, 2008. Isaac Newton Institute for Mathematical Sciences, Cambridge, United Kingdom (2008)
7.
Conference Paper
Sun, X.; Janzing, D.; Schölkopf, B.; Fukumizu, K.: A Kernel-Based Causal Learning Algorithm. In: ICML '07: 24th International Conference on Machine Learning, pp. 855 - 862 (Ed. Ghahramani, Z.). 24th Annual International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, June 20, 2007 - June 24, 2007. ACM Press, New York, NY, USA (2007)
8.
Conference Paper
Sun, X.; Janzing, D.: Exploring the causal order of binary variables via exponential hierarchies of Markov kernels. In: Advances in computational intelligence and learning: 15th European Symposium on Artificial Neural Networks: ESANN 2007, pp. 465 - 470 (Ed. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, April 25, 2007 - April 27, 2007. D-Side, Evere, Belgium (2007)
9.
Conference Paper
Sun, X.; Janzing, D.: Learning causality by identifying common effects with kernel-based dependence measures. In: Advances in computational intelligence and learning: 15th European Symposium on Artificial Neural Networks: ESANN 2007, pp. 453 - 458 (Ed. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, April 25, 2007 - April 27, 2007. D-Side, Evere, Belgium (2007)
10.
Conference Paper
Sun, X.; Janzing, D.; Schölkopf, B.: Distinguishing Between Cause and Effect via Kernel-Based Complexity Measures for Conditional Distributions. In: Advances in computational intelligence and learning: 15th European Symposium on Artificial Neural Networks: ESANN 2007, pp. 441 - 446 (Ed. Verleysen, M.). 15th European Symposium on Artificial Neural Networks (ESANN 2007), Brugge, Belgium, April 25, 2007 - April 27, 2007. D-Side Publications, Evere, Belgium (2007)
11.
Conference Paper
Sun, X.; Janzing, D.; Schölkopf, B.: Causal Inference by Choosing Graphs with Most Plausible Markov Kernels. In: Ninth International Symposium on Artificial Intelligence and Mathematics (AIMath 2006), pp. 1 - 11. Ninth International Symposium on Artificial Intelligence and Mathematics (AIMath 2006), Fort Lauderdale, FL, USA, January 04, 2005 - January 06, 2005. (2006)

Talk (2)

12.
Talk
Fukumizu, K.; Gretton, A.; Sun, X.; Schölkopf, B.: Measuring Conditional Dependence with Kernels. 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan (2007)
13.
Talk
Sun, X.; Janzing, D.; Schölkopf, B.: Inferring Causal Directions by Evaluating the Complexity of Conditional Distributions. NIPS 2006 Workshop on Causality and Feature Selection (CWS 2006), Whistler, BC, Canada (2006)

Thesis - PhD (1)

14.
Thesis - PhD
Sun, X.: Causal inference from statistical data. Dissertation, Universität Karlsruhe, Karlsruhe, Germany (2008)
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