Nonparametric Divergence Estimation for Machine Learning on Distributions (2011)

Barnas Poczos, Liang Xiong, Jeff Schneider

Tags

divergence estimation, learning on distributions, nonparametric

Abstract

Many machine learning algorithms operate on finite-dimensional points. Here we propose nonparametric methods to estimate divergences between distributions given samples from them, and then show that using these divergences many machine learning algorithms can be applied to distributions.

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Approximate BibTeX Entry

@misc{poczos11snowbird,
    Month = {April},
    Year = {2011},
    Booktitle = {Learning Workshop (Snowbird) poster},
    Author = { Barnas Poczos, Liang Xiong, Jeff Schneider },
    Title = {Nonparametric Divergence Estimation for Machine Learning on Distributions}
}