Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.
EDBT 2026 Demo / reviewers in the wild / expert

Benjamin Jaye

dblp:239/5858 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0001-6326-7392ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Information theory · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory › information measures › entropy
entropy minimization		 0.412020
Remarks on the Rényi Entropy of a Sum of IID Random Variables · IEEE Trans. Inf. Theory 2020
Information theory › information measures › entropy › generalized entropy
rényi entropy		 0.412020
Remarks on the Rényi Entropy of a Sum of IID Random Variables · IEEE Trans. Inf. Theory 2020
Information theory › probability theory
sums of independent random variables		 0.412020
Remarks on the Rényi Entropy of a Sum of IID Random Variables · IEEE Trans. Inf. Theory 2020

Methods — techniques the papers use, named apart from their topics

variational analysis · 0.4
YearPublicationVenuePosition
2020 Remarks on the Rényi Entropy of a Sum of IID Random Variables
abstract
In this note we study a conjecture of Madiman and Wang which predicted that the generalized Gaussian distribution minimizes the Rényi entropy of the sum of independent random variables. Through a variational analysis, we show that the generalized Gaussian fails to be a minimizer for the problem.
Benjamin Jaye, Galyna V. Livshyts, Grigoris Paouris, Peter Pivovarov
 IEEE Trans. Inf. Theory1