Practical and Consistent Estimation of f-Divergences

NeurIPS 2019 Paul RubensteinOlivier BousquetJosip DjolongaCarlos RiquelmeIlya O. Tolstikhin

The estimation of an f-divergence between two probability distributions based on samples is a fundamental problem in statistics and machine learning. Most works study this problem under very weak assumptions, in which case it is provably hard... (read more)

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