activity
20122021
most citedThe volume of Gaussian states by information geometry

14 citations · 32 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ML2021★ 1 cited

Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings

Minh Ha Quang

This work studies the convergence and finite sample approximations of entropic regularized Wasserstein distances in the Hilbert space setting. Our first main result is that for Gau…

stat.ML2020★ 10 cited

Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes

Minh Ha Quang

This work studies the entropic regularization formulation of the 2-Wasserstein distance on an infinite-dimensional Hilbert space, in particular for the Gaussian setting. We first p…

math.FA2019★ 2 cited

Alpha Procrustes metrics between positive definite operators: a unifying formulation for the Bures-Wasserstein and Log-Euclidean/Log-Hilbert-Schmidt metrics

Minh Ha Quang

This work presents a parametrized family of distances, namely the Alpha Procrustes distances, on the set of symmetric, positive definite (SPD) matrices. The Alpha Procrustes distan…

math.PR2019

Regularized divergences between covariance operators and Gaussian measures on Hilbert spaces

Minh Ha Quang

This work presents an infinite-dimensional generalization of the correspondence between the Kullback-Leibler and Rényi divergences between Gaussian measures on Euclidean space and…

math.FA2016★ 4 cited

Infinite-dimensional Log-Determinant divergences II: Alpha-Beta divergences

Minh Ha Quang

This work presents a parametrized family of divergences, namely Alpha-Beta Log- Determinant (Log-Det) divergences, between positive definite unitized trace class operators on a Hil…

math-ph2015★ 14 cited

The volume of Gaussian states by information geometry

Domenico Felice, Hà Quang Minh, Stefano Mancini

We formulate the problem of determining the volume of the set of Gaussian physical states in the framework of information geometry. That is, by considering phase space probability…

stat.ML2012★ 1 cited

Further properties of Gaussian Reproducing Kernel Hilbert Spaces

Minh Ha Quang

We generalize the orthonormal basis for the Gaussian RKHS described in \cite{MinhGaussian2010} to an infinite, continuously parametrized, family of orthonormal bases, along with so…