About Me

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.


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Publications

(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]


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Last update:19/06/2020