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- W4289294839 abstract "Measuring mutual information from finite data is difficult. Recent work has considered variational methods maximizing a lower bound. In this paper, we prove that serious statistical limitations are inherent to any method of measuring mutual information. More specifically, we show that any distribution-free high-confidence lower bound on mutual information estimated from N samples cannot be larger than O(ln N )." @default.
- W4289294839 created "2022-08-02" @default.
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- W4289294839 date "2018-11-10" @default.
- W4289294839 modified "2023-10-18" @default.
- W4289294839 title "Formal Limitations on the Measurement of Mutual Information" @default.
- W4289294839 doi "https://doi.org/10.48550/arxiv.1811.04251" @default.
- W4289294839 hasPublicationYear "2018" @default.
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