Quentin BERTRAND - Home

I am a 2nd year PhD student in machine learning at Inria Paris-Saclay (in the Parietal Team), under the supervision of Joseph Salmon and Alexandre Gramfort. I work on the optimization and statistical aspects of high dimensional sparse linear regression applied to brain signals reconstruction. I have a keen interest in the Python programming language: I am a contributor to MNE. I also develop a python package for high dimensional sparse linear regression with correlated noise. Here is a short resume and my list of publications.

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Upcoming events

• March 25-27, 2020: I will present our work on hyperparameter setting for the Lasso at Journées SMAI MODE 2020 in Palaiseau, France

• June 3-5, 2020: I will present our work on Support recovery and sup-norm convergence rates for sparse pivotal estimation at AISTATS 2020 in Palermo, Italy

Past events

• December 8-15, 2019: I presented our paper Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso at NeurIPS2019 in Vancouver, Canada

• December 3-4, 2019: I gave a 20min talk on our paper “Support recovery and sup-norm convergence rates for sparse pivotal estimation” at PGMO days in Palaiseau, France

• October 21-25, 2019: I was awarded a grant from GDR IA to visit Samuel Vaiter in Dijon, France

• October 16-18, 2019: I participated, and gave a 20min oral presentation at Journées du GDR MOA 2019 in Rennes, France