Publication

You can also find my publications on my Google Scholar profile.

(*) denotes equal contribution.

Journal Submissions

[JS.5] Characterizing Heterogeneous Rates in Finite Mixture Estimation via Partial Optimal Transport. Under Review.
Dung Le*, Huy Nguyen*, Trang Pham, Alessandro Rinaldo, Nhat Ho.

[JS.4] Partial Differential Equation Barriers to Identifiability in Infinite Mixture Models. Under Review.
Dung Le*, Nicola Bariletto*, Alessandro Rinaldo, Nhat Ho.

[JS.3] On the Geometry of Separation in Finite Gaussian Mixtures. Under Review.
Huy Nguyen*, Dung Le*, Alessandro Rinaldo, Nhat Ho.

[JS.2] Convergence Rates for Latent Mixing Measures in Infinite Homoscedastic Location-Scale Mixture Models. Under Review.
Nicola Bariletto*, Dung Le*, Alessandro Rinaldo, Nhat Ho.

[JS.1] Berry–Esseen Bounds for Multivariate Martingale Difference Sequences in the Kolmogorov Distance. Under Review.
Weichen Wu*, Le Quang Dung, Arun Kumar Kuchibhotla, Alessandro Rinaldo.

Conference Submissions

[CS.2] Improving Minimax Estimation Rates for Contaminated Mixture of Multinomial Logistic Experts via Expert Heterogeneity. Under Review.
Fanqi Yan*, Dung Le*, Trang Pham, Huy Nguyen, Nhat Ho.

[CS.1] Hypernetwork-Driven Low-Rank Adaptation Across Attention Heads. Under Review.
Nghiem T. Diep*, Dung Le*, Tuan Truong*, Tan Dinh, Huy Nguyen, Nhat Ho.

Journal Publications

[J.2] Strong Laws of Large Numbers for Weighted Sums of d-Dimensional Arrays of Random Variables and Applications to Marked Point Processes. Theory of Probability and Mathematical Statistics, 2024.
Ta Cong Son, Tran Manh Cuong, Le Quang Dung, Le Van Dung.

[J.1] Rate of Convergence in the Smoluchowski–Kramers Approximation for Mean-Field Stochastic Differential Equations. Potential Analysis, 2023.
Ta Cong Son*, Dung Quang Le*, Manh Hong Duong.

Conference Publications

[C.5] On Barycenter Computation: Analyzing Semi-Unbalanced Optimal Transport-Based Method on Bures–Wasserstein Manifold. AISTATS 2026.
Ngoc-Hai Nguyen*, Dung Le*, Hoang-Phi Nguyen, Tung Pham, Nhat Ho.

[C.4] On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts. NeurIPS 2025.
Fanqi Yan*, Huy Nguyen*, Dung Le*, Pedram Akbarian, Nhat Ho, Alessandro Rinaldo.

[C.3] Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts. AISTATS 2025.
Fanqi Yan*, Huy Nguyen*, Le Quang Dung*, Pedram Akbarian, Nhat Ho.

[C.2] Fast Approximation of the Generalized Sliced-Wasserstein Distance. ICASSP 2024.
Dung Le*, Huy Nguyen*, Khai Nguyen*, Trang Nguyen, Nhat Ho.

[C.1] Entropic Gromov–Wasserstein between Gaussian Distributions. ICML 2022.
Huy Nguyen*, Khang Le*, Dung Le*, Dat Do, Tung Pham, Nhat Ho.