Test of relative dependency
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Cov_theorical.m
HSICunbiased.m
README.md
centerKern.m
relative_dependency_test.m

README.md

reldep

Code for the machine learning methods described in: Bounliphone, W., Gretton, A., Tenenhaus, A., Blaschko, M.B. (2015). A low variance consistent test of relative dependency. International Conference on Machine Learning, Jul 2015, Lille, France. https://hal.inria.fr/hal-01005828v4/file/relative_dependency.pdf

Author: Wacha bounliphone - wacha.bounliphone@centralesupelec.fr Copyright (c) 2014-2015

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version.

If you use this software in your research, please cite:

Bounliphone, W., Gretton, A., Tenenhaus, A., Blaschko, M.B. (2015). A low variance consistent test of relative dependency. International Conference on Machine Learning, Jul 2015, Lille, France. https://hal.inria.fr/hal-01005828v4/file/relative_dependency.pdf

Gretton, A., Fukumizu, K., Teo, C. H., Song, L., Scholkopf, B., Smola, A. J. (2007). A kernel statistical test of independence. In Advances in Neural Information Processing Systems, 585-592.