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Detecting low-complexity unobserved causes., , , , and . UAI, page 383-391. AUAI Press, (2011)A Permutation-Based Kernel Conditional Independence Test., , , and . UAI, page 132-141. AUAI Press, (2014)Estimating Causal Effects by Bounding Confounding., , and . UAI, page 240-249. AUAI Press, (2014)Inferring latent structures via information inequalities., , , , , and . UAI, page 112-121. AUAI Press, (2014)Measuring Statistical Dependence with Hilbert-Schmidt Norms., , , and . ALT, volume 3734 of Lecture Notes in Computer Science, page 63-77. Springer, (2005)A Direct Method for Building Sparse Kernel Learning Algorithms., , and . J. Mach. Learn. Res., (2006)Kernel Methods for Measuring Independence., , , , and . J. Mach. Learn. Res., (2005)Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis., , , and . Journal of Computational Neuroscience, 29 (3): 547-566 (2010)Manifold-valued Thin-Plate Splines with Applications in Computer Graphics., , , and . Comput. Graph. Forum, 27 (2): 437-448 (2008)An improved training algorithm for kernel Fisher discriminants., , and . AISTATS, Society for Artificial Intelligence and Statistics, (2001)