Generalizing Skew Jensen Divergences and Bregman Divergences With Comparative Convexity

Frank Nielsen*, Richard Nock

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    14 Citations (Scopus)

    Abstract

    Comparative convexity is a generalization of ordinary convexity based on abstract means instead of arithmetic means. We introduce the generalized skew Jensen divergences and their corresponding Bregman divergences with respect to comparative convexity. To illustrate those novel families of divergences, we consider the convexity induced by quasi-arithmetic means, and report explicit formula for the corresponding Bregman divergences. In particular, we show that those new Bregman divergences are equivalent to conformal ordinary Bregman divergences on monotone embeddings, and further state related results.

    Original languageEnglish
    Article number7938742
    Pages (from-to)1123-1127
    Number of pages5
    JournalIEEE Signal Processing Letters
    Volume24
    Issue number8
    DOIs
    Publication statusPublished - Aug 2017

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