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Frank Nielsen

11 papers hereh-index 314 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author4
  • first author3
  • middle author1
  • last author3

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.IT4
  • cs.LG3
  • cs.CG1
  • math.DG1
  • math.ST1
  • stat.ML1
same name
  • Frank Nielsen — 10 papers, h 5
  • Frank Nielsen — 5 papers, h 3
  • Frank Nielsen — 2 papers
  • Frank Nielsen — 1 paper, h 1
  • Frank Nielsen — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedDivergences induced by dual subtractive and divisive normalizations of exponential families and their convex deformations

2 citations · 3 across the 11 of their papers we have counts for

collaborators
Showing cs.ITShow all

4 papers · 1 filter

cs.IT2025

A note on the Artstein-Avidan-Milman's generalized Legendre transforms

Frank Nielsen

Artstein-Avidan and Milman [Annals of mathematics (2009), (169):661-674] characterized invertible reverse-ordering transforms on the space of lower semi-continuous extended real-va…

cs.IT2024★ 1 cited

Fast proxy centers for Jeffreys centroids: The Jeffreys-Fisher-Rao and the inductive Gauss-Bregman centers

Frank Nielsen

The symmetric Kullback-Leibler centroid also called the Jeffreys centroid of a set of mutually absolutely continuous probability distributions on a measure space provides a notion…

cs.IT2024

Symplectic Bregman divergences

Frank Nielsen

We present a generalization of Bregman divergences in symplectic vector spaces that we term symplectic Bregman divergences. Symplectic Bregman divergences are derived from a symple…

cs.IT2024★ 2 cited

Divergences induced by dual subtractive and divisive normalizations of exponential families and their convex deformations

Frank Nielsen

Exponential families are statistical models which are the workhorses in statistics, information theory, and machine learning among others. An exponential family can either be norma…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.