On a Variational Definition for the Jensen-Shannon Symmetrization of Distances Based on the Information Radius

We generalize the Jensen-Shannon divergence and the Jensen-Shannon diversity index by considering a variational definition with respect to a generic mean, thereby extending the notion of Sibson’s information radius. The variational definition applies to any arbitrary distance and yields a new way to...

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Main Author: Frank Nielsen
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/23/4/464
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author Frank Nielsen
author_facet Frank Nielsen
author_sort Frank Nielsen
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description We generalize the Jensen-Shannon divergence and the Jensen-Shannon diversity index by considering a variational definition with respect to a generic mean, thereby extending the notion of Sibson’s information radius. The variational definition applies to any arbitrary distance and yields a new way to define a Jensen-Shannon symmetrization of distances. When the variational optimization is further constrained to belong to prescribed families of probability measures, we get relative Jensen-Shannon divergences and their equivalent Jensen-Shannon symmetrizations of distances that generalize the concept of information projections. Finally, we touch upon applications of these variational Jensen-Shannon divergences and diversity indices to clustering and quantization tasks of probability measures, including statistical mixtures.
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spelling doaj.art-44b27112aee84b90991f00ae959c24802023-11-21T15:36:12ZengMDPI AGEntropy1099-43002021-04-0123446410.3390/e23040464On a Variational Definition for the Jensen-Shannon Symmetrization of Distances Based on the Information RadiusFrank Nielsen0Sony Computer Science Laboratories, Tokyo 141-0022, JapanWe generalize the Jensen-Shannon divergence and the Jensen-Shannon diversity index by considering a variational definition with respect to a generic mean, thereby extending the notion of Sibson’s information radius. The variational definition applies to any arbitrary distance and yields a new way to define a Jensen-Shannon symmetrization of distances. When the variational optimization is further constrained to belong to prescribed families of probability measures, we get relative Jensen-Shannon divergences and their equivalent Jensen-Shannon symmetrizations of distances that generalize the concept of information projections. Finally, we touch upon applications of these variational Jensen-Shannon divergences and diversity indices to clustering and quantization tasks of probability measures, including statistical mixtures.https://www.mdpi.com/1099-4300/23/4/464Jensen-Shannon divergencediversity indexRényi entropyinformation radiusinformation projectionexponential family
spellingShingle Frank Nielsen
On a Variational Definition for the Jensen-Shannon Symmetrization of Distances Based on the Information Radius
Entropy
Jensen-Shannon divergence
diversity index
Rényi entropy
information radius
information projection
exponential family
title On a Variational Definition for the Jensen-Shannon Symmetrization of Distances Based on the Information Radius
title_full On a Variational Definition for the Jensen-Shannon Symmetrization of Distances Based on the Information Radius
title_fullStr On a Variational Definition for the Jensen-Shannon Symmetrization of Distances Based on the Information Radius
title_full_unstemmed On a Variational Definition for the Jensen-Shannon Symmetrization of Distances Based on the Information Radius
title_short On a Variational Definition for the Jensen-Shannon Symmetrization of Distances Based on the Information Radius
title_sort on a variational definition for the jensen shannon symmetrization of distances based on the information radius
topic Jensen-Shannon divergence
diversity index
Rényi entropy
information radius
information projection
exponential family
url https://www.mdpi.com/1099-4300/23/4/464
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