Nicolas Schreuder
PhD student in Statistics
About me
I am a second year PhD student at CREST (Center for Research in Economics and Statistics), (near) Paris, supervised by Arnak Dalalyan. I am mainly interested in statistical learning theory and high-dimensional statistics. I co-organize the Stat·Eco·ML bi-monthly seminar at CREST.
Publications
- Evgenii Chzhen, Nicolas Schreuder (2020). A minimax framework for quantifying risk-fairness trade-off in regression. Preprint. [arXiv:2007.14265]
- Nicolas Schreuder (2020). Bounding the expectation of the supremum of empirical processes indexed by Hölder classes. Submitted. [arXiv:2003.13530]
- Nicolas Schreuder, Victor-Emmanuel Brunel, Arnak Dalalyan (2019). A nonasymptotic law of iterated logarithm for general M-estimators. AISTATS 2020. [PMLR 108:1331-1341]
Education
- 2018 - 2021 (expected) : PhD student, CREST
- 2017 - 2018 : MVA Master degree, ENS Paris-Saclay.
- 2015 - 2018 : Engineering degree in Statistics, ENSAE.
- 2012 - 2015 : BSc in Applied Mathematics, Paris Dauphine University.