39 citations · 117 across the 18 of their papers we have counts for
19 papers
Dimension Reduction for time series with Variational AutoEncoders
William Todo, Beatrice Laurent, Jean-Michel Loubes +1
In this work, we explore dimensionality reduction techniques for univariate and multivariate time series data. We especially conduct a comparison between wavelet decomposition and…
MMD Aggregated Two-Sample Test
Antonin Schrab, Ilmun Kim, Mélisande Albert +3
We propose two novel nonparametric two-sample kernel tests based on the Maximum Mean Discrepancy (MMD). First, for a fixed kernel, we construct an MMD test using either permutation…
Minimax optimal goodness-of-fit testing for densities and multinomials under a local differential privacy constraint
Joseph Lam-Weil, Béatrice Laurent, Jean-Michel Loubes
Finding anonymization mechanisms to protect personal data is at the heart of recent machine learning research. Here, we consider the consequences of local differential privacy cons…
New statistical methodology for second level global sensitivity analysis
Anouar Meynaoui, Amandine Marrel, Béatrice Laurent
Global sensitivity analysis (GSA) of numerical simulators aims at studying the global impact of the input uncertainties on the output. To perform the GSA, statistical tools based o…
Adaptive test of independence based on HSIC measures
Mélisande Albert, Béatrice Laurent, Amandine Marrel +1
Dependence measures based on reproducing kernel Hilbert spaces, also known as Hilbert-Schmidt Independence Criterion and denoted HSIC, are widely used to statistically decide wheth…
Wikistat 2.0: Educational Resources for Artificial Intelligence
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 o…