cs.IT · 2026-09-30 · No. 129
Information Theory, 2026-09-30.
2 new papers in cs.IT. Titles, authors,
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01 — The papers
2 entries-
01
Mutual Information Constrained Chernoff Bottleneck
Dier Tang, Guangyue Han
cs.IT · cs.LG · math.OC · math.ST · stat.ML
The classical information bottleneck (IB) measures the relevance of a representation $U$ of $X$ to a target $Y$ by $I(U;Y)$, which does not directly characterize the error of downstream decisions. For a binary hypothesis $Y$ inferred from many separately encoded observations, the optimal error exponent is the Chernoff information between the two conditional distributions of $U$ given $Y$. We study the mutual information constrained Chernoff...
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02
On Task Scope and Information Retention in Source Coding
Alireza Furutanpey, Kerstin Bunte
cs.IT · cs.LG · eess.IV
We argue that dividing codec design into Coding for Machines (CfM) and Coding for Humans (CfH) is a misleading distinction for deciding what information a codec may discard. Receiver identity does not determine admissible information loss. The required rate depends on task scope, including the predictions to support, their losses and tolerated risks, the encoder observation, and the permitted decoding procedures. Notably, a machine task may...
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