2023

• Mai, The Tien. (2023) On a Low-Rank Matrix Single-Index Model. Mathematics
  Vitenskapelig artikkel
• Mai, The Tien. (2023) From Bilinear Regression to Inductive Matrix Completion: A Quasi-Bayesian Analysis. Entropy
  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
  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. (2023) Reliable Genetic Correlation Estimation via Multiple Sample Splitting and Smoothing. Mathematics
  Vitenskapelig artikkel
• Mai, The Tien. (2023) A reduced-rank approach to predicting multiple binary responses through machine learning. Statistics and computing
  Vitenskapelig artikkel

2022

• Mai, The Tien. (2022) On Regret Bounds for Continual Single-Index Learning. Lecture Notes in Networks and Systems
  Vitenskapelig artikkel
• Mai, The Tien. (2022) An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography. Computational statistics (Zeitschrift)
  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
  Vitenskapelig artikkel

2020

• 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)
  Vitenskapelig artikkel
• Lees, J.A.; Mai, The Tien; Corander, Jukka. (2020) Improved prediction of bacterial genotype-phenotype associations using interpretable pangenome-spanning regressions. mBio
  Vitenskapelig artikkel

2017

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

2016

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