Paper Info
Title
On the entropy power inequality for the Rényi entropy of order [0, 1].
Abstract
Using a sharp version of the reverse Young inequality, and a Rényi entropy comparison result due to Fradelizi, Madiman, and Wang (2016), the authors derive Rényi entropy power inequalities for log-concave random vectors when Rényi parameters belong to [0, 1]. Furthermore, the estimates are shown to be sharp up to absolute constants.
Year
DOI
Venue
2019
10.1109/TIT.2018.2877741
IEEE Transactions on Information Theory
Keywords
DocType
Volume
Entropy,Geometry,Optimized production technology,Information theory,Random variables,Additives,Power measurement
Journal
abs/1710.00800
Issue
ISSN
Citations 
3
0018-9448
1
PageRank 
References 
Authors
0.36
14
2
Name
Order
Citations
PageRank
Arnaud Marsiglietti1102.93
James C Melbourne223.75