I started my PhD in November 2017 under the supervision of Alexandra Carpentier.
A minimax near-optimal algorithm for adaptive rejection sampling, ALT 2019
Juliette Achdou, JL-W, Alexandra Carpentier, Gilles Blanchard.
Local minimax rates for closeness testing of discrete distributions, preprint 2019
JL-W, Alexandra Carpentier, Bharath K. Sriperumbudur.
Minimax optimal goodness-of-fit testing for densities under a local differential privacy constraint, preprint 2020
JL-W, Béatrice Laurent, Jean-Michel Loubes.
Paul Sabatier university of Toulouse (November 2018-December 2018): worked on identity testing under local differential privacy constraint, with Jean-Michel Loubes and Beatrice Laurent-Bonneau.
Thales (May 2017-October 2017): worked on anomaly detection using deep learning methods, under the supervision of Marc Schoenauer.
xbird (June 2016-September 2016): applied machine learning methods to glycemia prediction for diabetics.
Advanced Probability Theory: 1 semester.
Introduction to Probability and Statistics: 2 semesters.
Probability Theory: 1 semester.
MLSS 2019 in London.