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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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