I am a 2nd year PhD student in a joined research project ANR FastBig between Proba-Stat team of Département de Mathématiques d’Orsay and Parietal team of INRIA. My supervisors are Sylvain Arlot and Bertrand Thirion.
My PhD research focuses on high-dimensional statistical inference and machine learning, with particular application in Functional Magnetic Resonance Imaging (fMRI) data analysis. Other than that, recently I am also interested in causal inference applied to machine learning.
Jun 15, 2020: I am selected to be one of the participant at the Machine Learning Summer School 2020. Initially it was intended to take place from 28 June to 10 July 2020 at Max Planck Institute for Intelligent Systems, Tübingen, Germany; but because of the COVID-19 pandemic the event will be held virtually. See you there!
Feb 21, 2020: New preprint on Aggregation of Multiple Knockoffs with theoretical guarantee on controlling FDR.
Feb 1, 2019: Our work has been accepted to IPMI 2019 conference.
(2020) T.-B. Nguyen, J.-A. Chevalier, B.Thirion, & S. Arlot, Aggregation of Multiple Knockoffs. To appear in Proceedings of the 37th International Conference on Machine Learning (ICML) [arXiv] [PDF] [code]
(2019) T.-B. Nguyen, J.-A Chevalier, & B. Thirion, ECKO: Ensemble of Clustered Knockoffs for Robust Multivariate Inference on fMRI Data. In International Conference on Information Processing in Medical Imaging (pp. 454-466). Springer, Cham. [arXiv]
tuan-binh.nguyen [AT] math.u-psud.fror
tuan-binh.nguyen [AT] inria.fr