Artikel (3): |
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Janzing D  , Mooij J , Zhang K , Lemeire J , Zscheischler J , Daniušis P , Steudel B und Schölkopf B (May-2012) Information-geometric approach to inferring causal directions
Artificial Intelligence 182-183 1-31.
 
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Zhang K und Chan L-W (August-2010) Convolutive blind source separation by efficient blind deconvolution and minimal filter distortion
Neurocomputing 73(13-15) 2580-2588.
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Hyvärinen A , Zhang K , Shimizu S und Hoyer P (May-2010) Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
Journal of Machine Learning Research 11 1709-1731.
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Beiträge zu Tagungsbänden (11): |
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Zhang K und Hyvärinen A (November-2011) A general linear non-Gaussian state-space model: Identifiability, identification, and applications
In: JMLR Workshop and Conference Proceedings Volume 20, 3rd Asian Conference on Machine Learning (ACML 2011), MIT Press, Cambridge, MA, USA, 113-128.
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Zhang K , Peters J , Janzing D und Schölkopf B (July-2011) Kernel-based Conditional Independence Test and Application in
Causal Discovery
27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), AUAI Press, Corvallis, OR, USA, 804-813.
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Zscheischler J , Janzing D und Zhang K (July-2011) Testing whether linear equations are causal: A free probability theory approach
27th Conference on Uncertainty in Artificial Intelligence (UAI 2011), AUAI Press, Corvallis, OR, USA, 839-847.
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Mooij JM , Stegle O , Janzing D , Zhang K und Schölkopf B (June-2011) Probabilistic latent variable models for distinguishing between cause and effect
In: Advances in Neural Information Processing Systems 23, Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Curran, Red Hook, NY, USA, 1687-1695.
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Daniusis P , Janzing D , Mooij J , Zscheischler J , Steudel B , Zhang K und Schölkopf B (July-2010) Inferring deterministic causal relations
26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), AUAI Press, Corvallis, OR, USA, 143-150.
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Zhang K , Schölkopf B und Janzing D (July-2010) Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery
26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), AUAI Press, Corvallis, OR, USA, 717-724.
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Zhang M-L und Zhang K (July-2010) Multi-Label Learning by Exploiting Label Dependency
16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), ACM Press, New York, NY, USA, 999-1008.
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Zhang K und Hyvärinen A (July-2010) Source Separation and Higher-Order Causal Analysis of MEG and EEG
26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), AUAI Press, Corvallis, OR, USA, 709-716.
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Zhang K und Hyvärinen A (September-2009) Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective
In: Machine Learning and Knowledge Discovery in Databases, European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (ECML PKDD '09), Springer, Berlin, Germany, 570-585.
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Zhang K und Hyvärinen A (June-2009) On the Identifiability of the Post-Nonlinear Causal Model
25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), AUAI Press, Corvallis, OR, USA, 647-655.
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Zhang K , Peng H , Chan L und Hyvärinen A (March-2009) ICA with Sparse Connections: Revisited
In: Independent Component Analysis and Signal Separation, 8th International Conference on Independent Component Analysis and Signal Separation (ICA 2009), Springer, Berlin, Germany, 195-202.
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