Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence
No confident code implementation found for this paper. 3 possible matches can be shown below.
No confident code implementation found for this paper. 3 possible matches can be shown below.
No confident code match yet
We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 3 weaker matches are hidden by default — verify before relying on them.
No code implementations found yet.
Know of an implementation? Let us know in the comments below!
Bridging the Gap Between f-divergences and Bayes Hilbert Spaces
Glivenko-Cantelli for f-divergence
Bounds on Lp Errors in Density Ratio Estimation via f-Divergence Loss Functions
On approximating the f-divergence between two Ising models
Near-Optimality of Contrastive Divergence Algorithms
Unbiased Estimating Equation on Inverse Divergence and Its Conditions
@article{korba2026statistical,
title = {Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence},
author = {Anna Korba and Francis Bach and Clémentine Chazal},
year = {2026},
url = {https://www.semanticscholar.org/paper/06406821ab5d055a91e6ed0ce79771fed92af7d3},
journal = {NEURIPS 2024 2024}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/06406821ab5d055a91e6ed0ce79771fed92af7d3)