3 citations · 8 across the 6 of their papers we have counts for
6 papers
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
Tuan Thai, TrungTin Nguyen, Dat Do +2
Mixture of Experts (MoE) models constitute a widely utilized class of ensemble learning approaches in statistics and machine learning, known for their flexibility and computational…
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models
Dat Do, Huy Nguyen, Khai Nguyen +1
We study the maximum likelihood estimation (MLE) in the multivariate deviated model where the data are generated from the density function $(1-λ^{\ast})h_{0}(x)+λ^{\ast}f(x|μ^{\ast…
Beyond Black Box Densities: Parameter Learning for the Deviated Components
Dat Do, Nhat Ho, XuanLong Nguyen
As we collect additional samples from a data population for which a known density function estimate may have been previously obtained by a black box method, the increased complexit…
On Label Shift in Domain Adaptation via Wasserstein Distance
Trung Le, Dat Do, Tuan Nguyen +4
We study the label shift problem between the source and target domains in general domain adaptation (DA) settings. We consider transformations transporting the target to source dom…
Entropic Gromov-Wasserstein between Gaussian Distributions
Khang Le, Dung Le, Huy Nguyen +3
We study the entropic Gromov-Wasserstein and its unbalanced version between (unbalanced) Gaussian distributions with different dimensions. When the metric is the inner product, whi…
Functional optimal transport: map estimation and domain adaptation for functional data
Jiacheng Zhu, Aritra Guha, Dat Do +3
We introduce a formulation of optimal transport problem for distributions on function spaces, where the stochastic map between functional domains can be partially represented in te…