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.
19
Documents
Affiliation actuelle
  • The University of Queensland (UQ [All campuses : Brisbane, Dutton Park Gatton, Herston, St Lucia and other locations])

Présentation

Publications

Publications

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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
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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

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

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
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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

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
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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
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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

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
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HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts

Giang Do , Khiem Le , Quang Pham , Trungtin Nguyen , Thanh-Nam Doan et 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
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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

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
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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

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