11 citations · 11 across the 3 of their papers we have counts for
3 papers
stat.ML2021
Estimation of Riemannian distances between covariance operators and Gaussian processes
Ha Quang Minh
In this work we study two Riemannian distances between infinite-dimensional positive definite Hilbert-Schmidt operators, namely affine-invariant Riemannian and Log-Hilbert-Schmidt…
math.FA2017
Infinite-dimensional Log-Determinant divergences between positive definite Hilbert-Schmidt operators
Minh Ha Quang
The current work generalizes the author's previous work on the infinite-dimensional Alpha Log-Determinant (Log-Det) divergences and Alpha-Beta Log-Det divergences, defined on the s…
stat.ML2012★ 11 cited
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality
Vikas Sindhwani, Minh Ha Quang, Aurelie C. Lozano
We propose a general matrix-valued multiple kernel learning framework for high-dimensional nonlinear multivariate regression problems. This framework allows a broad class of mixed…