no code implementations • 25 Aug 2022 • Teodora Popordanoska, Aleksei Tiulpin, Wacha Bounliphone, Matthew B. Blaschko
Moreover, we derive a method to bound the entries of the inverse covariance matrix, the so-called precision matrix.
no code implementations • 17 Nov 2016 • Wacha Bounliphone, Eugene Belilovsky, Arthur Tenenhaus, Ioannis Antonoglou, Arthur Gretton, Matthew B. Blashcko
The second test, called the relative test of similarity, is use to determine which of the two samples from arbitrary distributions is significantly closer to a reference sample of interest and the relative measure of similarity is based on the Maximum Mean Discrepancy (MMD).
1 code implementation • 6 Apr 2016 • Wacha Bounliphone, Matthew Blaschko
For some class of probability distributions, an edge between two variables is present if and only if the corresponding entry in the precision matrix is non-zero.
1 code implementation • 14 Nov 2015 • Wacha Bounliphone, Eugene Belilovsky, Matthew B. Blaschko, Ioannis Antonoglou, Arthur Gretton
Probabilistic generative models provide a powerful framework for representing data that avoids the expense of manual annotation typically needed by discriminative approaches.
1 code implementation • 15 Jun 2014 • Wacha Bounliphone, Arthur Gretton, Arthur Tenenhaus, Matthew Blaschko
Such a test enables us to determine whether one source variable is significantly more dependent on a first target variable or a second.