Publications of X Sun
All genres
Journal Article (1)
1.
Journal Article
71 (7-9), pp. 1248 - 1256 (2008)
Causal Reasoning by Evaluating the Complexity of Conditional Densities with Kernel Methods. Neurocomputing Book (1)
2.
Book
Causal inference from statistical data. Logos Verlag, Berlin, Germany (2008), 220 pp.
Conference Paper (9)
3.
Conference Paper
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
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
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
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)
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.; 7.
Conference Paper
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
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
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
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
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
Measuring Conditional Dependence with Kernels. 2nd Workshop on Machine Learning and Optimization at the ISM, Tokyo, Japan (2007)
13.
Talk
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
Causal inference from statistical data. Dissertation, Universität Karlsruhe, Karlsruhe, Germany (2008)