Kun Zhang
Kun Zhang
Carnegie Mellon University & Max-Planck Institute for Intelligent Systems
Dirección de correo verificada de cmu.edu - Página principal
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Multi-label learning by exploiting label dependency
ML Zhang, K Zhang
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
4422010
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
3422018
Kernel-based conditional independence test and application in causal discovery
K Zhang, J Peters, D Janzing, B Schölkopf
arXiv preprint arXiv:1202.3775, 2012
3122012
Domain adaptation under target and conditional shift
K Zhang, B Schölkopf, K Muandet, Z Wang
International Conference on Machine Learning, 819-827, 2013
3102013
On the identifiability of the post-nonlinear causal model
K Zhang, A Hyvarinen
arXiv preprint arXiv:1205.2599, 2012
2812012
On causal and anticausal learning
B Schölkopf, D Janzing, J Peters, E Sgouritsa, K Zhang, J Mooij
arXiv preprint arXiv:1206.6471, 2012
2242012
On causal and anticausal learning
B Schölkopf, D Janzing, J Peters, E Sgouritsa, K Zhang, J Mooij
arXiv preprint arXiv:1206.6471, 2012
2242012
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
2072012
Estimation of a structural vector autoregression model using non-gaussianity.
A Hyvärinen, K Zhang, S Shimizu, PO Hoyer
Journal of Machine Learning Research 11 (5), 2010
1862010
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
1672016
Causal discovery and inference: concepts and recent methodological advances
P Spirtes, K Zhang
Applied informatics 3 (1), 3, 2016
1442016
Inferring deterministic causal relations
P Daniusis, D Janzing, J Mooij, J Zscheischler, B Steudel, K Zhang, ...
arXiv preprint arXiv:1203.3475, 2012
1412012
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
1022010
Multi-Source Domain Adaptation: A Causal View.
K Zhang, M Gong, B Schölkopf
AAAI 1, 3150-3157, 2015
942015
Deep domain generalization via conditional invariant adversarial networks
Y Li, X Tian, M Gong, Y Liu, T Liu, K Zhang, D Tao
Proceedings of the European Conference on Computer Vision (ECCV), 624-639, 2018
912018
On learning invariant representation for domain adaptation
H Zhao, RT Combes, K Zhang, GJ Gordon
arXiv preprint arXiv:1901.09453, 2019
842019
Inferring causation from time series in Earth system sciences
J Runge, S Bathiany, E Bollt, G Camps-Valls, D Coumou, E Deyle, ...
Nature communications 10 (1), 1-13, 2019
822019
Model selection for Gaussian mixture models
T Huang, H Peng, K Zhang
Statistica Sinica, 147-169, 2017
702017
Model selection for Gaussian mixture models
T Huang, H Peng, K Zhang
Statistica Sinica, 147-169, 2017
702017
An adaptive method for subband decomposition ICA
K Zhang, LW Chan
Neural computation 18 (1), 191-223, 2006
702006
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Artículos 1–20