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20242026
most citedShannon Bounds for Quadratic Rate-Distortion Problems

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cs.IT2026

Single-Period Portfolio Selection via Information Projection

Bo-Yu Yang, Michael Gastpar

We study the single-period portfolio selection problem under Constant Relative Risk-Aversion (CRRA) utility through the information-theoretic lens. Assuming only that the market pa…

cs.IT2026

Contraction of Rényi Divergences for Discrete Channels: Properties and Applications

Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar

This work explores properties of Strong Data-Processing constants for Rényi Divergences. Parallels are made with the well-studied -Divergences, and it is shown that the order $α…

cs.IT2025

Model non-collapse: Minimax bounds for recursive discrete distribution estimation

Millen Kanabar, Michael Gastpar

Learning discrete distributions from i.i.d. samples is a well-understood problem. However, advances in generative machine learning prompt an interesting new, non-i.i.d. setting: af…

cs.IT20241 cited

Shannon Bounds for Quadratic Rate-Distortion Problems

Michael Gastpar, Erixhen Sula

The Shannon lower bound has been the subject of several important contributions by Berger. This paper surveys Shannon bounds on rate-distortion problems under mean-squared error di…

cs.IT2024

Sibson -Mutual Information and Its Variational Representations

Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa

Information measures can be constructed from Rényi divergences much like mutual information from Kullback-Leibler divergence. One such information measure is known as Sibson -mu…

cs.IT2024

Properties of the Strong Data Processing Constant for Rényi Divergence

Lifu Jin, Amedeo Roberto Esposito, Michael Gastpar

Strong data processing inequalities (SDPI) are an important object of study in Information Theory and have been well studied for -divergences. Universal upper and lower bounds h…