ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.17060
49
9
v1v2v3v4 (latest)

ααα-Geodesical Skew Divergence

31 March 2021
Masanari Kimura
H. Hino
ArXiv (abs)PDFHTML
Abstract

The asymmetric skew divergence smooths one of the distributions by mixing it, to a degree determined by the parameter λ\lambdaλ, with the other distribution. Such divergence is an approximation of the KL divergence that does not require the target distribution to be absolutely continuous with respect to the source distribution. In this paper, an information geometric generalization of the skew divergence called the α\alphaα-geodesical skew divergence is proposed, and its properties are studied.

View on arXiv
Comments on this paper