activity
20142022
most citedA Test of Relative Similarity For Model Selection in Generative Models

38 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

math.ST2022

On confidence intervals for precision matrices and the eigendecomposition of covariance matrices

Teodora Popordanoska, Aleksei Tiulpin, Wacha Bounliphone +1

The eigendecomposition of a matrix is the central procedure in probabilistic models based on matrix factorization, for instance principal component analysis and topic models. Quant…

cs.AI2016

Fast Non-Parametric Tests of Relative Dependency and Similarity

Wacha Bounliphone, Eugene Belilovsky, Arthur Tenenhaus +3

We introduce two novel non-parametric statistical hypothesis tests. The first test, called the relative test of dependency, enables us to determine whether one source variable is s…

stat.ML2016

A U-statistic Approach to Hypothesis Testing for Structure Discovery in Undirected Graphical Models

Wacha Bounliphone, Matthew Blaschko

Structure discovery in graphical models is the determination of the topology of a graph that encodes conditional independence properties of the joint distribution of all variables…

stat.ML2015★ 38 cited

A Test of Relative Similarity For Model Selection in Generative Models

Wacha Bounliphone, Eugene Belilovsky, Matthew B. Blaschko +2

Probabilistic generative models provide a powerful framework for representing data that avoids the expense of manual annotation typically needed by discriminative approaches. Model…

stat.ML2014★ 4 cited

A low variance consistent test of relative dependency

Wacha Bounliphone, Arthur Gretton, Arthur Tenenhaus +1

We describe a novel non-parametric statistical hypothesis test of relative dependence between a source variable and two candidate target variables. Such a test enables us to determ…