TrungTin Nguyen I am currently a Postdoctoral Research Fellow at the The University of Queensland in the School of Mathematics and Physics from December 2023.

Présentation

Publications

Article dans une revue (7)

Revisiting Concentration Results for Approximate Bayesian Computation Hien Nguyen,Trungtin Nguyen,Julyan Arbel,Florence Forbes Bayesian Analysis, 2025, pp.1-23. ⟨10.1214/25-BA1520⟩ Article dans une revue hal-03987197v2
Bayesian nonparametric mixture of experts for inverse problems Trungtin Nguyen,Florence Forbes,Julyan Arbel,Hien Duy Nguyen Journal of Nonparametric Statistics, 2024, pp.1-60. ⟨10.1080/10485252.2024.2426091⟩ Article dans une revue hal-04015203v3
Approximation of probability density functions via location-scale finite mixtures in Lebesgue spaces Trungtin Nguyen,Faicel Chamroukhi,Hien D Nguyen,Geoffrey J Mclachlan Communications in Statistics - Theory and Methods, 2022, pp. 1-12. ⟨10.1080/03610926.2021.2002360⟩ Article dans une revue hal-02957876v1
Summary statistics and discrepancy measures for ABC via surrogate posteriors Florence Forbes,Hien Duy Nguyen,Trung Tin Nguyen,Julyan Arbel Statistics and Computing, 2022, 32 (85), ⟨10.1007/s11222-022-10155-6⟩ Article dans une revue hal-03139256v5
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models Trungtin Nguyen,Hien Duy Nguyen,Faicel Chamroukhi,Florence Forbes Electronic Journal of Statistics , 2022, 16 (2), pp.4742 - 4822. ⟨10.1214/22-EJS2057⟩ Article dans une revue hal-03214606v1
Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models Hien Duy Nguyen,Trungtin Nguyen,Faicel Chamroukhi,Geoffrey John Mclachlan Journal of Statistical Distributions and Applications, 2021, 8 (13), ⟨10.1186/s40488-021-00125-0⟩ Article dans une revue hal-03328115v1
Approximation by finite mixtures of continuous density functions that vanish at infinity Trungtin Nguyen,Hien Nguyen,Faicel Chamroukhi,Geoffrey Mclachlan Cogent Mathematics & Statistics, 2020, 7 (1), ⟨10.1080/25742558.2020.1750861⟩ Article dans une revue hal-02957925v1

Communication dans un congrès (9)

Bayesian Likelihood Free Inference using Mixtures of Experts Florence Forbes,Hien Duy Nguyen,Trungtin Nguyen International Joint Conference on Neural Networks, IJCNN, Jun 2024, Yokohama, Japan. pp.1--8, ⟨10.1109/IJCNN60899.2024.10650052⟩ Communication dans un congrès hal-04436187v1
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts Huy Nguyen,Trungtin Nguyen,Khai Nguyen,Nhat Ho AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics, May 2024, Valencia, Spain. pp.1-33 Communication dans un congrès hal-04125056v1
Demystifying Softmax Gating Function in Gaussian Mixture of Experts Huy Nguyen,Trungtin Nguyen,Nhat Ho Advances in Neural Information Processing Systems, NeurIPS 2023 Spotlight, Dec 2023, New Orleans, United States. pp.1-27 Communication dans un congrès hal-04125060v1
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts Giang Do,Khiem Le,Quang Pham,Trungtin Nguyen,Thanh-Nam Doanet al. The 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 Main, Dec 2023, Singapour, Singapore. pp.1-12 Communication dans un congrès hal-04257067v2
A non-asymptotic risk bound for model selection in a high-dimensional mixture of experts via joint rank and variable selection Trungtin Nguyen,Dung Ngoc Nguyen,Hien Duy Nguyen,Faicel Chamroukhi AJCAI 2023 - Australasian Joint Conference on Artificial Intelligence, Nov 2023, Brisbane, Australia. pp.1-32 Communication dans un congrès hal-03984011v3
Bayesian nonparametric mixture of experts for high-dimensional inverse problems Trungtin Nguyen,Florence Forbes,Julyan Arbel BNP13 - 13th International Conference on Bayesian Nonparametrics, Oct 2022, Puerto Varas, Chile Communication dans un congrès hal-04001270v1
Mixture of expert posterior surrogates for approximate Bayesian computation Florence Forbes,Hien Duy Nguyen,Trungtin Nguyen,Julyan Arbel SFdS 2022 - 53èmes Journées de Statistique de la Société Française de Statistique, Jun 2022, Lyon, France. pp.1-6 Communication dans un congrès hal-03679688v1
Model selection by penalization in mixture of experts models with a non-asymptotic approach Trungtin Nguyen,Faicel Chamroukhi,Hien Duy Nguyen,Florence Forbes JDS 2022 - 53èmes Journées de Statistique de la Société Française de Statistique (SFdS), Jun 2022, Lyon, France. pp.1-6 Communication dans un congrès hal-03663348v1
Approximate Bayesian computation with surrogate posteriors Julyan Arbel,Florence Forbes,Hien Duy Nguyen,Trungtin Nguyen ISBA 2021 - World Meeting of the International Society for Bayesian Analysis, Jun 2021, Marseille, France Communication dans un congrès hal-03337949v1

Pré-publication, Document de travail (3)

A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts Huy Nguyen,Pedram Akbarian,Trungtin Nguyen,Nhat Ho 2023 Pré-publication, Document de travail hal-04256824v1
A non-asymptotic model selection in block-diagonal mixture of polynomial experts models Trungtin Nguyen,Faicel Chamroukhi,Hien Duy Nguyen,Florence Forbes 2021 Pré-publication, Document de travail hal-03214604v1
Non-asymptotic oracle inequalities for the Lasso in high-dimensional mixture of experts Trungtin Nguyen,Hien D Nguyen,Faicel Chamroukhi,Geoffrey J Mclachlan 2020 Pré-publication, Document de travail hal-02957892v1