Lampros Gavalakis

Orcid: 0000-0003-3011-9435

According to our database1, Lampros Gavalakis authored at least 19 papers between 2020 and 2024.

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Bibliography

2024
Approximate discrete entropy monotonicity for log-concave sums.
Comb. Probab. Comput., March, 2024

Finite de Finetti bounds in relative entropy.
CoRR, 2024

Relative entropy bounds for sampling with and without replacement.
CoRR, 2024

The entropic doubling constant and robustness of Gaussian codebooks for additive-noise channels.
CoRR, 2024

On the monotonicity of discrete entropy for log-concave random vectors on Z<sup>d</sup>.
CoRR, 2024

Dimensional Discrete Entropy Power Inequalities for Log-Concave Random Vectors.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Gaussian Mixtures: Convexity Properties and CLT Rates for the Entropy and Fisher Information.
Proceedings of the IEEE International Symposium on Information Theory, 2024

A Third Information-Theoretic Approach to Finite de Finetti Theorems.
Proceedings of the IEEE International Symposium on Information Theory, 2024

2023
On the entropy and information of Gaussian mixtures.
CoRR, 2023

A Third Information-Theoretic Approach to Finite de Finetti Theorems.
CoRR, 2023

Discrete Generalised Entropy Power Inequalities for Log-Concave Random Variables.
Proceedings of the IEEE International Symposium on Information Theory, 2023

2022
Information in probability: Another information-theoretic proof of a finite de Finetti theorem.
CoRR, 2022

Information-theoretic de Finetti-style theorems.
Proceedings of the IEEE Information Theory Workshop, 2022

The Entropic Central Limit Theorem for Discrete Random Variables.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Fundamental Limits of Lossless Data Compression With Side Information.
IEEE Trans. Inf. Theory, 2021

Entropy and the Discrete Central Limit Theorem.
CoRR, 2021

An Information-Theoretic Proof of a Finite de Finetti Theorem.
CoRR, 2021

2020
Sharp Second-Order Pointwise Asymptotics for Lossless Compression with Side Information.
Entropy, 2020

Lossless Data Compression with Side Information: Nonasymptotics and Dispersion.
Proceedings of the IEEE International Symposium on Information Theory, 2020


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