3 code implementations • NeurIPS 2023 • Antonin Schrab, Ilmun Kim, Mélisande Albert, Béatrice Laurent, Benjamin Guedj, Arthur Gretton
In practice, this parameter is unknown and, hence, the optimal MMD test with this particular kernel cannot be used.
no code implementations • 11 Feb 2020 • Joseph Lam-Weil, Béatrice Laurent, Jean-Michel Loubes
To the best of our knowledge, we provide the first minimax optimal test and associated private transformation under a local differential privacy constraint over Besov balls in the continuous setting, quantifying the price to pay for data privacy.
no code implementations • 28 Sep 2018 • Philippe Besse, Brendan Guillouet, Béatrice Laurent
Big data, data science, deep learning, artificial intelligence are the key words of intense hype related with a job market in full evolution, that impose to adapt the contents of our university professional trainings.
no code implementations • 13 Dec 2017 • Clémentine Barreyre, Béatrice Laurent, Jean-Michel Loubes, Bertrand Cabon, Loïc Boussouf
We propose a novel procedure for outlier detection in functional data, in a semi-supervised framework.
no code implementations • 1 Jul 2006 • Magalie Fromont, Béatrice Laurent
We introduce a multiple testing procedure based on an estimation of the $\mathbb{L}_2$-distance between $f$ and $f_0$ or between $f$ and the parametric family that we consider.
Statistics Theory Statistics Theory 62G10 (Primary) 62G20 (Secondary)