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We propose a method to optimize the representation and distinguishability of samples from two probability distributions, by maximizing the estimated power of a statistical test based on the maximum mean discrepancy (MMD).
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Danica J. Sutherland · 1906
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Approximation Theorems of Mathematical Statistics
Robert J. Serfling · 1980
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Kernel choice and classifiability for RKHS embeddings of probability distributions
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Quickly generating representative samples from an rbm-derived process
Olivier Breuleux, Yoshua Bengio, and Pascal Vincent · 2011
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Masashi Sugiyama, Taiji Suzuki, Yuta Itoh, Takafumi Kanamori, and Manabu Kimura · 2011
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