The Tien Mai
About
My current postdoc, with Jo Eidsvik, focus on spatio-temporal modelling where the main research projects are from:
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Center for Geophysical Forecasting (SFI-CGF) (https://www.ntnu.edu/cgf)
Prior joining NTNU, I did a postdoct in biostatistics with Jukka Corander at department of Biostatistics, University of Oslo.
Research topics:
- State-space model: Kalman filtering
- Statistical machine learning: sparse regression; Transfer and Lifelong learning; low-rank matrix estimation and completion; Bayesian inference and PAC-Bayesian analysis.
- Biostatistics: drug sensivetivity prediction with multi-omics data, heritability, genetic co-variability, bacterial GWAS.
Education:
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PhD in statistics:
CREST-ENSAE-ParisTech/Paris Saclay (Oct 2015 - June 2017)
University College Dublin, Ireland (Jan 2014 - Sep 2015)
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Master in Mathematics & Informatics, Université Paris 13, France (2013).
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B.Sc in Mathematics, HCM City-University of Pedagogy, Vietnam (2011)
Publications
2023
-
Mai, The Tien.
(2023)
From Bilinear Regression to Inductive Matrix Completion: A Quasi-Bayesian Analysis.
Entropy
Academic article
-
Mai, The Tien.
(2023)
Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completion.
Metron
Academic article
-
Mai, The Tien;
Lees, John A;
Gladstone, Rebecca Ashley;
Corander, Jukka.
(2023)
Inferring the heritability of bacterial traits in the era of machine learning.
Bioinformatics Advances
Academic article
-
Mai, The Tien.
(2023)
On a Low-Rank Matrix Single-Index Model.
Mathematics
Academic article
-
Mai, The Tien.
(2023)
Reliable Genetic Correlation Estimation via Multiple Sample Splitting and Smoothing.
Mathematics
Academic article
2022
-
Mai, The Tien.
(2022)
On Regret Bounds for Continual Single-Index Learning.
Lecture Notes in Networks and Systems
Academic article
-
Mai, The Tien;
Alquier, Pierre.
(2022)
Understanding the Population Structure Correction Regression.
Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA)
Academic article
-
Mai, The Tien.
(2022)
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography.
Computational statistics (Zeitschrift)
Academic article
2021
-
Mai, The Tien;
Turner, Paul;
Corander, Jukka.
(2021)
Boosting heritability: estimating the genetic component of phenotypic variation with multiple sample splitting.
BMC Bioinformatics
Academic article
-
Jarøy, Emilie Grimnes;
Emblem, Ragnhild;
Reims, Henrik Mikael;
Mai, The Tien;
Risa, Gabriel T.;
Ougland, Rune.
(2021)
Evaluation of diagnostic factors used to refer children with constipation for rectal biopsies.
International Journal of Colorectal Disease
Academic article
2020
-
Lees, J.A.;
Mai, The Tien;
Corander, Jukka.
(2020)
Improved prediction of bacterial genotype-phenotype associations using interpretable pangenome-spanning regressions.
mBio
Academic article
-
Mai, The Tien;
Rønneberg, Leiv;
Zhao, Zhi;
Zucknick, Manuela;
Corander, Jukka.
(2020)
Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank Structure.
Lecture Notes in Computer Science (LNCS)
Academic article
2017
-
Mai, The Tien;
Alquier, P..
(2017)
Pseudo-Bayesian quantum tomography with rank-adaptation.
Journal of Statistical Planning and Inference
Academic article
2016
-
Alquier, P.;
Mai, The Tien;
Pontil, M.
(2016)
Regret bounds for lifelong learning.
Proceedings of Machine Learning Research (PMLR)
Academic article
2015
-
Mai, The Tien;
alquier, pierre.
(2015)
A Bayesian approach for noisy matrix completion: Optimal rate under general sampling distribution.
Electronic Journal of Statistics
Academic article
Journal publications
-
Mai, The Tien.
(2023)
From Bilinear Regression to Inductive Matrix Completion: A Quasi-Bayesian Analysis.
Entropy
Academic article
-
Mai, The Tien.
(2023)
Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completion.
Metron
Academic article
-
Mai, The Tien;
Lees, John A;
Gladstone, Rebecca Ashley;
Corander, Jukka.
(2023)
Inferring the heritability of bacterial traits in the era of machine learning.
Bioinformatics Advances
Academic article
-
Mai, The Tien.
(2023)
On a Low-Rank Matrix Single-Index Model.
Mathematics
Academic article
-
Mai, The Tien.
(2023)
Reliable Genetic Correlation Estimation via Multiple Sample Splitting and Smoothing.
Mathematics
Academic article
-
Mai, The Tien.
(2022)
On Regret Bounds for Continual Single-Index Learning.
Lecture Notes in Networks and Systems
Academic article
-
Mai, The Tien;
Alquier, Pierre.
(2022)
Understanding the Population Structure Correction Regression.
Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA)
Academic article
-
Mai, The Tien.
(2022)
An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography.
Computational statistics (Zeitschrift)
Academic article
-
Mai, The Tien;
Turner, Paul;
Corander, Jukka.
(2021)
Boosting heritability: estimating the genetic component of phenotypic variation with multiple sample splitting.
BMC Bioinformatics
Academic article
-
Jarøy, Emilie Grimnes;
Emblem, Ragnhild;
Reims, Henrik Mikael;
Mai, The Tien;
Risa, Gabriel T.;
Ougland, Rune.
(2021)
Evaluation of diagnostic factors used to refer children with constipation for rectal biopsies.
International Journal of Colorectal Disease
Academic article
-
Lees, J.A.;
Mai, The Tien;
Corander, Jukka.
(2020)
Improved prediction of bacterial genotype-phenotype associations using interpretable pangenome-spanning regressions.
mBio
Academic article
-
Mai, The Tien;
Rønneberg, Leiv;
Zhao, Zhi;
Zucknick, Manuela;
Corander, Jukka.
(2020)
Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank Structure.
Lecture Notes in Computer Science (LNCS)
Academic article
-
Mai, The Tien;
Alquier, P..
(2017)
Pseudo-Bayesian quantum tomography with rank-adaptation.
Journal of Statistical Planning and Inference
Academic article
-
Alquier, P.;
Mai, The Tien;
Pontil, M.
(2016)
Regret bounds for lifelong learning.
Proceedings of Machine Learning Research (PMLR)
Academic article
-
Mai, The Tien;
alquier, pierre.
(2015)
A Bayesian approach for noisy matrix completion: Optimal rate under general sampling distribution.
Electronic Journal of Statistics
Academic article
Teaching
TMA4285 Time series
TMA4250 Spatial statistics