Publications of K Zhang
All genres
Journal Article (3)
1.
Journal Article
182-183, pp. 1 - 31 (2012)
Information-geometric approach to inferring causal directions. Artificial Intelligence 2.
Journal Article
73 (13-15), pp. 2580 - 2588 (2010)
Convolutive blind source separation by efficient blind deconvolution and minimal filter distortion. Neurocomputing 3.
Journal Article
11, pp. 1709 - 1731 (2010)
Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity. Journal of Machine Learning Research Conference Paper (12)
4.
Conference Paper
On causal and anticausal learning. In: 29th International Conference on Machine Learning (ICML 2012), pp. 1255 - 1262 (Eds. Langford, J.; Pineau, J.). 29th International Conference on Machine Learning (ICML 2012), Edinburgh, UK. International Machine Learning Society, Madison, WI, USA (2012)
5.
Conference Paper
A general linear non-Gaussian state-space model: Identifiability, identification, and applications. In: Asian Conference on Machine Learning, 14-15 November 2011, South Garden Hotels and Resorts, Taoyuan, Taiwain, pp. 113 - 128 (Eds. Hsu, C.-N.; Lee, W.). 3rd Asian Conference on Machine Learning (ACML 2011), Taoyuan, Taiwan, November 14, 2011 - November 15, 2011. MIT Press, Cambridge, MA, USA (2011)
6.
Conference Paper
Kernel-based Conditional Independence Test and Application in Causal Discovery. In: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), pp. 804 - 813 (Eds. Cozman, F.; Pfeffer, A.). 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), Barcelona, Spain. AUAI Press, Corvallis, OR, USA (2011)
7.
Conference Paper
Testing whether linear equations are causal: A free probability theory approach. In: 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), pp. 839 - 847 (Eds. Cozman, F.; Pfeffer, A.). 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), Barcelona, Spain. AUAI Press, Corvallis, OR, USA (2011)
8.
Conference Paper
Probabilistic latent variable models for distinguishing between cause and effect. Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, BC, Canada, December 06, 2010 - December 11, 2010. Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, pp. 1687 - 1695 (2011)
9.
Conference Paper
Inferring deterministic causal relations. In: 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), pp. 143 - 150 (Eds. Grünwald, P.; Spirtes, P.). 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), Catalina Island, CA, USA, July 08, 2010 - July 11, 2010. AUAI Press, Corvallis, OR, USA (2010)
10.
Conference Paper
Source Separation and Higher-Order Causal Analysis of MEG and EEG. In: 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), pp. 709 - 716 (Eds. Grünwald, P.; Spirtes, P.). 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), Catalina Island, CA, USA, July 08, 2010 - July 11, 2010. AUAI Press, Corvallis, OR, USA (2010)
11.
Conference Paper
Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery. In: 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), pp. 717 - 724 (Eds. Grünwald, P.; Spirtes, P.). 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), Catalina Island, CA, USA, July 08, 2010 - July 11, 2010. AUAI Press, Corvallis, OR, USA (2010)
12.
Conference Paper
Multi-Label Learning by Exploiting Label Dependency. In: 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), pp. 999 - 1008 (Eds. Rao, B.; Krishnapuram, B.; Tomkins, A.; Yang, Q.). 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA, July 25, 2010 - July 28, 2010. ACM Press, New York, NY, USA (2010)
13.
Conference Paper
Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective. In: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, pp. 570 - 585 (Eds. Buntine, W.; Mladenić, D.; Shawe-Taylor, J.). 16th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009), Bled, Slovenia, September 07, 2009 - September 11, 2009. Springer, Berlin, Germany (2009)
14.
Conference Paper
On the Identifiability of the Post-Nonlinear Causal Model. In: 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), pp. 647 - 655 (Eds. Bilmes, J.; NG, A.; McAllester, D.). 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), Montréal, Canada, June 18, 2009 - June 21, 2009. AUAI Press, Corvallis, OR, USA (2009)
15.
Conference Paper
ICA with Sparse Connections: Revisited. In: Independent Component Analysis and Signal Separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15-18, 2009, pp. 195 - 202 (Eds. Adali, T.; Jutten, C.; Romano Travassos, J.; Barros Kardec, A.). 8th International Conference on Independent Component Analysis and Signal Separation (ICA 2009), Paraty, Brazil, March 15, 2009 - March 18, 2009. Springer, Berlin, Germany (2009)
Poster (1)
16.
Poster
Model the single-venule fMRI signal at the millisecond scale. 23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2015), Toronto, Canada (2015)