Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/6518
Title: On projections of the Rényi divergence on generalized convex sets
Authors: Kumar, Manoj Ashok
Keywords: Information theory;Mathematical transformations;Convex set;exponential and linear families;forward and reverse projections;Relative entropy;Variational distance;Set theory
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Kumar, M. A., & Sason, I. (2016). On projections of the rényi divergence on generalized convex sets. Paper presented at the IEEE International Symposium on Information Theory - Proceedings, , 2016-August 1123-1127. doi:10.1109/ISIT.2016.7541474
Abstract: Motivated by a recent result by van Erven and Harremoës, we study a forward projection problem for the Rényi divergence on a particular α-convex set, termed α-linear family. The solution to this problem yields a parametric family of probability measures which turns out to be an extension of the exponential family, and it is termed α-exponential family. An orthogonality relationship between the α-exponential and α-linear families is first established and is then used to transform the reverse projection on an α-exponential family into a forward projection on an α-linear family. The full paper version of this work is available on the arXiv at http://arxiv.org/abs/1512.02515. © 2016 IEEE.
URI: https://doi.org/10.1109/ISIT.2016.7541474
https://dspace.iiti.ac.in/handle/123456789/6518
ISBN: 9781509018062
ISSN: 2157-8095
Type of Material: Conference Paper
Appears in Collections:Department of Mathematics

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