Minh Ha Quang

11 papers A 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Geometric Jensen-Shannon Divergence Between Gaussian Measures On Hilbert Space.
CoRR
Minh Ha Quang, Frank Nielsen
2025 A conf
Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent.
AISTATS
Guillaume Braun, Minh Ha Quang, Masaaki Imaizumi
2025 J jnl
Learning a Single Index Model from Anisotropic Data with vanilla Stochastic Gradient Descent.
CoRR
Guillaume Braun, Minh Ha Quang, Masaaki Imaizumi
2022 J jnl
Kullback-Leibler and Renyi divergences in reproducing kernel Hilbert space and Gaussian process settings.
CoRR
Minh Ha Quang
2021 J jnl
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings.
CoRR
Minh Ha Quang
2021 J jnl
Finite sample approximations of exact and entropic Wasserstein distances between covariance operators and Gaussian processes.
CoRR
Minh Ha Quang
2020 J jnl
Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes.
CoRR
Minh Ha Quang
2016 J jnl
Infinite-dimensional Log-Determinant divergences II: Alpha-Beta divergences.
CoRR
Minh Ha Quang
2014 — conf
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces.
NIPS
Minh Ha Quang, Marco San-Biagio, Vittorio Murino
2011 J jnl
A New Kernel-Based Approach for NonlinearSystem Identification.
IEEE Trans. Autom. Control.
Gianluigi Pillonetto, Minh Ha Quang, Alessandro Chiuso
2010 J jnl
Image and Video Colorization Using Vector-Valued Reproducing Kernel Hilbert Spaces.
J. Math. Imaging Vis.
Minh Ha Quang, Sung Ha Kang, Triet M. Le