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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
Current affiliations
  • 1144128

Presentation

You can find: \- my webpage: <https://trung-tinnguyen.github.io/> \- my CV: [https://trung-tinnguyen.github.io/files/CV\_TrungTin\_Nguyen.pdf](https://trung-tinnguyen.github.io/files/CV_TrungTin_Nguyen.pdf)

Publications

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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⟩
Journal articles 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⟩
Journal articles hal-03214606v1
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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⟩
Journal articles hal-03139256v5

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⟩
Journal articles hal-02957876v1

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⟩
Journal articles 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⟩
Journal articles 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, 2024, Yokohama, Japan
Conference papers 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
Conference papers 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, Acceptance rate 3.6% over 12343 submissions, Dec 2023, New Orleans, United States. pp.1-27
Conference papers 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
The 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 Main, Dec 2023, Singapour, Singapore. pp.1-12
Conference papers hal-04257067v2
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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
Conference papers hal-03984011v3
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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
Conference papers hal-03679688v1
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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
Conference papers 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
Conference papers hal-04001270v1

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
Conference papers hal-03337949v1