2023
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Mai, The Tien. A reduced-rank approach to predicting multiple binary responses through machine learning. Statistics and computing 2023 ;Volum 33.(6) s. 1-15 NTNU
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Mai, The Tien. From Bilinear Regression to Inductive Matrix Completion: A Quasi-Bayesian Analysis. Entropy 2023 ;Volum 25.(2) s. 1-27 NTNU
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Mai, The Tien. On a Low-Rank Matrix Single-Index Model. Mathematics 2023 ;Volum 11.(9) s. 1-16 NTNU
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Mai, The Tien. Reliable Genetic Correlation Estimation via Multiple Sample Splitting and Smoothing. Mathematics 2023 ;Volum 11.(9) s. 1-13 NTNU
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Mai, The Tien. Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completion. Metron 2023 ;Volum 81. s. 193-214 NTNU
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Mai, The Tien; Lees, John A; Gladstone, Rebecca Ashley; Corander, Jukka. Inferring the heritability of bacterial traits in the era of machine learning. Bioinformatics Advances 2023 ;Volum 3.(1) s. - UiO NTNU
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Mai, The Tien; Spremic, Mina; Eidsvik, Jo. A pseudo-Bayesian approach for non-linear seismic inversion. 22st Annual Conference of the International Association for Mathematical Geosciences; 2023-08-05 - 2023-08-12 NTNU
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2022
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8. |
Mai, The Tien. An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography. Computational statistics (Zeitschrift) 2022 ;Volum 38. s. 827-843 NTNU
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Mai, The Tien. On Regret Bounds for Continual Single-Index Learning. Lecture Notes in Networks and Systems 2022 ;Volum 506. s. 545-559 NTNU
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Mai, The Tien. PAC-Bayesian matrix completion with a spectral scaled Student prior. the Fourth Symposium on Advances in Approximate Bayesian Inference; 2022-02-01 - 2022-02-02 NTNU
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11. |
Mai, The Tien; Alquier, Pierre. Understanding the Population Structure Correction Regression. Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA) 2022 s. - NTNU
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2021
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Jarøy, Emilie Grimnes; Emblem, Ragnhild; Reims, Henrik Mikael; Mai, The Tien; Risa, Gabriel T.; Ougland, Rune. Evaluation of diagnostic factors used to refer children with constipation for rectal biopsies. International Journal of Colorectal Disease 2021 ;Volum 37. s. 597-605 OUS UiO
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Mai, The Tien; Turner, Paul; Corander, Jukka. Boosting heritability: estimating the genetic component of phenotypic variation with multiple sample splitting. BMC Bioinformatics 2021 ;Volum 22.(1) s. - UiO
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2020
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14. |
Lees, J.A.; Mai, The Tien; Corander, Jukka. Improved prediction of bacterial genotype-phenotype associations using interpretable pangenome-spanning regressions. mBio 2020 ;Volum 11. UiO
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Mai, The Tien; Rønneberg, Leiv; Zhao, Zhi; Zucknick, Manuela; Corander, Jukka. Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank Structure. Lecture Notes in Computer Science (LNCS) 2020 ;Volum 12313. s. 67-79 NTNU UiO
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2017
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16. |
Mai, The Tien; Alquier, P.. Pseudo-Bayesian quantum tomography with rank-adaptation. Journal of Statistical Planning and Inference 2017 ;Volum 184. NTNU
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2016
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17. |
Alquier, P.; Mai, The Tien; Pontil, M. Regret bounds for lifelong learning. Proceedings of Machine Learning Research (PMLR) 2016 ;Volum 54. NTNU
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2015
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18. |
Mai, The Tien; alquier, pierre. A Bayesian approach for noisy matrix completion: Optimal rate under general sampling distribution. Electronic Journal of Statistics 2015 ;Volum 9.(1) NTNU
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