My current research interests are:
In particular, my works so far have been a blend of both the theoretical and algorithmic sides for the inference problem in high-dimension settings, which is of typical in modern (large-scale) datasets, e.g. genomics and brain-imaging.
(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]
Jun 15, 2020: I am selected to be one of the participants 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.
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.
tuan-binh.nguyen [AT] math.u-psud.fror
tuan-binh.nguyen [AT] inria.fr