The Tien Mai - NTNU

Om

Publikasjoner

2023

Mai, The Tien. (2023) From Bilinear Regression to Inductive Matrix Completion: A Quasi-Bayesian Analysis. Entropy. volum 25 (2).
Vitenskapelig artikkel
Mai, The Tien. (2023) On a Low-Rank Matrix Single-Index Model. Mathematics. volum 11 (9).
Vitenskapelig artikkel
Mai, The Tien. (2023) Reliable Genetic Correlation Estimation via Multiple Sample Splitting and Smoothing. Mathematics. volum 11 (9).
Vitenskapelig artikkel
Mai, The Tien. (2023) Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completion. Metron.
Vitenskapelig artikkel
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. volum 3 (1).
Vitenskapelig artikkel

2022

Mai, The Tien. (2022) An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography. Computational statistics (Zeitschrift). volum 38.
Vitenskapelig artikkel
Mai, The Tien. (2022) On Regret Bounds for Continual Single-Index Learning. Lecture Notes in Networks and Systems. volum 506.
Vitenskapelig artikkel
Mai, The Tien; Alquier, Pierre. (2022) Understanding the Population Structure Correction Regression. Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA).
Vitenskapelig artikkel

2021

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.
Vitenskapelig artikkel
Mai, The Tien; Turner, Paul; Corander, Jukka. (2021) Boosting heritability: estimating the genetic component of phenotypic variation with multiple sample splitting. BMC Bioinformatics. volum 22 (1).
Vitenskapelig artikkel

2020

Lees, J.A.; Mai, The Tien; Corander, Jukka. (2020) Improved prediction of bacterial genotype-phenotype associations using interpretable pangenome-spanning regressions. mBio. volum 11.
Vitenskapelig artikkel
Mai, The Tien; Rønneberg, Leiv; Zucknick, Manuela; Corander, Jukka; Zhao, Zhi. (2020) Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank Structure. Lecture Notes in Computer Science (LNCS). volum 12313.
Vitenskapelig artikkel

2017

Mai, The Tien; Alquier, P.. (2017) Pseudo-Bayesian quantum tomography with rank-adaptation. Journal of Statistical Planning and Inference. volum 184.
Vitenskapelig artikkel

2016

Alquier, P.; Mai, The Tien; Pontil, M. (2016) Regret bounds for lifelong learning. Proceedings of Machine Learning Research (PMLR). volum 54.
Vitenskapelig artikkel

2015

Mai, The Tien; alquier, pierre. (2015) A Bayesian approach for noisy matrix completion: Optimal rate under general sampling distribution. Electronic Journal of Statistics. volum 9 (1).
Vitenskapelig artikkel

Tidsskriftspublikasjoner

Mai, The Tien. (2023) From Bilinear Regression to Inductive Matrix Completion: A Quasi-Bayesian Analysis. Entropy. volum 25 (2).
Vitenskapelig artikkel
Mai, The Tien. (2023) On a Low-Rank Matrix Single-Index Model. Mathematics. volum 11 (9).
Vitenskapelig artikkel
Mai, The Tien. (2023) Reliable Genetic Correlation Estimation via Multiple Sample Splitting and Smoothing. Mathematics. volum 11 (9).
Vitenskapelig artikkel
Mai, The Tien. (2023) Simulation comparisons between Bayesian and de-biased estimators in low-rank matrix completion. Metron.
Vitenskapelig artikkel
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. volum 3 (1).
Vitenskapelig artikkel
Mai, The Tien. (2022) An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography. Computational statistics (Zeitschrift). volum 38.
Vitenskapelig artikkel
Mai, The Tien. (2022) On Regret Bounds for Continual Single-Index Learning. Lecture Notes in Networks and Systems. volum 506.
Vitenskapelig artikkel
Mai, The Tien; Alquier, Pierre. (2022) Understanding the Population Structure Correction Regression. Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA).
Vitenskapelig artikkel
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.
Vitenskapelig artikkel
Mai, The Tien; Turner, Paul; Corander, Jukka. (2021) Boosting heritability: estimating the genetic component of phenotypic variation with multiple sample splitting. BMC Bioinformatics. volum 22 (1).
Vitenskapelig artikkel
Lees, J.A.; Mai, The Tien; Corander, Jukka. (2020) Improved prediction of bacterial genotype-phenotype associations using interpretable pangenome-spanning regressions. mBio. volum 11.
Vitenskapelig artikkel
Mai, The Tien; Rønneberg, Leiv; Zucknick, Manuela; Corander, Jukka; Zhao, Zhi. (2020) Learning Cancer Drug Sensitivities in Large-Scale Screens from Multi-omics Data with Local Low-Rank Structure. Lecture Notes in Computer Science (LNCS). volum 12313.
Vitenskapelig artikkel
Mai, The Tien; Alquier, P.. (2017) Pseudo-Bayesian quantum tomography with rank-adaptation. Journal of Statistical Planning and Inference. volum 184.
Vitenskapelig artikkel
Alquier, P.; Mai, The Tien; Pontil, M. (2016) Regret bounds for lifelong learning. Proceedings of Machine Learning Research (PMLR). volum 54.
Vitenskapelig artikkel
Mai, The Tien; alquier, pierre. (2015) A Bayesian approach for noisy matrix completion: Optimal rate under general sampling distribution. Electronic Journal of Statistics. volum 9 (1).
Vitenskapelig artikkel