https://openreview.net/forum?id=pQQuC1nIQq
Understanding and improving Shampoo and SOAP via Kullback-Leibler Minimization | OpenReview
Shampoo and its efficient variant, SOAP, employ structured second-moment estimations and have shown strong performance for training neural networks (NNs). In...
understandingimprovingshampoosoapvia
https://ieeetv.ieee.org/ondemand/ieee-icassp-2020-virtual-conference-may-2020/5885/approximate-inference-by-kullbackleibler-tensor-belief-propagation
Approximate Inference By Kullback-Leibler Tensor Belief Propagation | IEEETV
Probabilistic programming provides a structured approach to signal processing algorithm design. The design task is formulated as a generative model, and the...
approximateinferencetensorbeliefpropagation
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256584
A data assimilation framework that uses the Kullback-Leibler divergence | PLOS One
The process of integrating observations into a numerical model of an evolving dynamical system, known as data assimilation, has become an essential tool in...
a data
https://arxiv.org/abs/1903.00669
[1903.00669] Kullback-Leibler Divergence for Bayesian Nonparametric Model Checking
Abstract page for arXiv paper 1903.00669: Kullback-Leibler Divergence for Bayesian Nonparametric Model Checking
divergencebayesianmodelchecking
https://kulprit.readthedocs.io/en/latest/
Kullback-Leibler projections for Bayesian model selection — Kulprit 0.6.1 documentation
https://arize.com/glossary/kullback-leibler-kl-divergence/
Kullback-Leibler (KL) Divergence - Arize AI
Dec 2, 2022 - The Kullback-Leibler Divergence metric is calculated as the difference between one probability distribution from a reference probability distribution.
kl divergencearizeai