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02/11/2023
Partial k-means to avoid outliers, mathematical programming formulations, complexity results
A well-known bottleneck of Min-Sum-of-Square Clustering (MSSC, the celeb...
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09/15/2022
Rho-Tau Bregman Information and the Geometry of Annealing Paths
Markov Chain Monte Carlo methods for sampling from complex distributions...
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02/22/2022
The duo Fenchel-Young divergence
By calculating the Kullback-Leibler divergence between two probability m...
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07/13/2021
Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities
The Jeffreys divergence is a renown symmetrization of the statistical Ku...
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02/15/2021
Tractable structured natural gradient descent using local parameterizations
Natural-gradient descent on structured parameter spaces (e.g., low-rank ...
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03/30/2020
A note on Onicescu's informational energy and correlation coefficient in exponential families
The informational energy of Onicescu is a positive quantity that measure...
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04/23/2019
On the Kullback-Leibler divergence between location-scale densities
We show that the Kullback-Leibler divergence between two densities of po...
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04/08/2019
On a generalization of the Jensen-Shannon divergence and the JS-symmetrization of distances relying on abstract means
The Jensen-Shannon divergence is a renown bounded symmetrization of the ...
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12/19/2018
On The Chain Rule Optimal Transport Distance
We define a novel class of distances between statistical multivariate di...
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12/03/2016
