4 citations · 23 across the 39 of their papers we have counts for
5 papers · 1 filter
Characterizing Heterogeneous Rates in Finite Mixture Estimation via Partial Optimal Transport
Dung Le, Huy Nguyen, Trang Pham +2
Parameter estimation in finite mixture models can exhibit highly heterogeneous convergence behavior: locally isolated components may be estimated substantially faster than groups o…
On the Geometry of Separation in Finite Gaussian Mixtures
Huy Nguyen, Dung Le, Alessandro Rinaldo +1
We study an open problem of understanding the effects of the minimum component separation on the convergence rates of parameter estimation in finite Gaussian mixtures. We address t…
Improving Minimax Estimation Rates for Contaminated Mixture of Multinomial Logistic Experts via Expert Heterogeneity
Fanqi Yan, Dung Le, Trang Pham +2
Contaminated mixture of experts (MoE) is motivated by transfer learning methods where a pre-trained model, acting as a frozen expert, is integrated with an adapter model, functioni…
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…
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…