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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

Affiliations actuelles

1144128

Présentation

Publications

	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
	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
	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

	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.1-31 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, Acceptance rate 3.6% over 12343 submissions, 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 Doan The 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 Main, Dec 2023, 2023 - Resorts World Convention Centre, 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
	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
	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
	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

	Bayesian Likelihood Free Inference using Mixtures of Experts Florence Forbes , Hien Duy Nguyen , Trungtin Nguyen 2024 Pré-publication, Document de travail hal-04436187v1
	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
	Concentration results for approximate Bayesian computation without identifiability Hien Nguyen , Trungtin Nguyen , Julyan Arbel , Florence Forbes 2023 Pré-publication, Document de travail hal-03987197v1
	Bayesian nonparametric mixture of experts for high-dimensional inverse problems Trungtin Nguyen , Florence Forbes , Julyan Arbel , Hien Duy Nguyen 2023 Pré-publication, Document de travail hal-04015203v2
	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