ProfileEntropy: AFundamentalMeasureforthe LearnabilityandCompressibilityofDistributions

Feb-8-2026, 09:16:04 GMT–Neural Information Processing Systems

The profile of a sample is the multiset of its symbol frequencies. We show that for samples of discrete distributions, profile entropy is a fundamental measure unifying the concepts of estimation, inference, and compression.

artificial intelligence, logn, machine learning, (18 more...)

Neural Information Processing Systems

Feb-8-2026, 09:16:04 GMT

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Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions

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