Kun Zhang
Kun Zhang
Carnegie Mellon University & Max-Planck Institute for Intelligent Systems
Verified email at cmu.edu - Homepage
TitleCited byYear
Multi-label learning by exploiting label dependency
ML Zhang, K Zhang
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
Kernel-based conditional independence test and application in causal discovery
K Zhang, J Peters, D Janzing, B Schölkopf
arXiv preprint arXiv:1202.3775, 2012
On the identifiability of the post-nonlinear causal model
K Zhang, A Hyvärinen
Proceedings of the twenty-fifth conference on uncertainty in artificial …, 2009
Domain adaptation under target and conditional shift
K Zhang, B Schölkopf, K Muandet, Z Wang
International Conference on Machine Learning, 819-827, 2013
Information-geometric approach to inferring causal directions
D Janzing, J Mooij, K Zhang, J Lemeire, J Zscheischler, P Daniušis, ...
Artificial Intelligence 182, 1-31, 2012
Estimation of a structural vector autoregression model using non-gaussianity
A Hyvärinen, K Zhang, S Shimizu, PO Hoyer
Journal of Machine Learning Research 11 (May), 1709-1731, 2010
On causal and anticausal learning
B Schölkopf, D Janzing, J Peters, E Sgouritsa, K Zhang, J Mooij
arXiv preprint arXiv:1206.6471, 2012
On causal and anticausal learning
B Schölkopf, D Janzing, J Peters, E Sgouritsa, K Zhang, J Mooij
arXiv preprint arXiv:1206.6471, 2012
Inferring deterministic causal relations
P Daniusis, D Janzing, J Mooij, J Zscheischler, B Steudel, K Zhang, ...
arXiv preprint arXiv:1203.3475, 2012
Domain adaptation with conditional transferable components
M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf
International conference on machine learning, 2839-2848, 2016
Probabilistic latent variable models for distinguishing between cause and effect
O Stegle, D Janzing, K Zhang, JM Mooij, B Schölkopf
Advances in neural information processing systems, 1687-1695, 2010
Causal discovery and inference: concepts and recent methodological advances
P Spirtes, K Zhang
Applied informatics 3 (1), 3, 2016
An adaptive method for subband decomposition ICA
K Zhang, LW Chan
Neural computation 18 (1), 191-223, 2006
Symbol recognition with kernel density matching
W Zhang, L Wenyin, K Zhang
IEEE transactions on pattern analysis and machine intelligence 28 (12), 2020 …, 2006
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
Model selection for gaussian mixture models
T Huang, H Peng, K Zhang
arXiv preprint arXiv:1301.3558, 2013
Multi-source domain adaptation: A causal view
K Zhang, M Gong, B Schölkopf
Twenty-ninth AAAI conference on artificial intelligence, 2015
Distinguishing causes from effects using nonlinear acyclic causal models
K Zhang, A Hyvärinen
Causality: Objectives and Assessment, 157-164, 2010
Efficient factor garch models and factor-dcc models
K Zhang, L Chan
Quantitative Finance 9 (1), 71-91, 2009
Causal inference by identification of vector autoregressive processes with hidden components
P Geiger, K Zhang, B Schoelkopf, M Gong, D Janzing
International Conference on Machine Learning, 1917-1925, 2015
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Articles 1–20