11 citations · 13 across the 6 of their papers we have counts for
6 papers
Minimax density estimation in the adversarial framework under local differential privacy
Mélisande Albert, Juliette Chevallier, Béatrice Laurent +1
We consider the problem of nonparametric density estimation under privacy constraints in an adversarial framework. To this end, we study minimax rates over Sobolev spaces under loc…
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…
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…
Concentration inequalities for randomly permuted sums
Mélisande Albert
Initially motivated by the study of the non-asymptotic properties of non-parametric tests based on permutation methods, concentration inequalities for uniformly permuted sums have…
A Distribution Free Unitary Events Method based on Delayed Coincidence Count
Mélisande Albert, Yann Bouret, Magalie Fromont +1
We investigate several distribution free dependence detection procedures, mainly based on bootstrap principles and their approximation properties. Thanks to this study, we introduc…
Bootstrap and permutation tests of independence for point processes
Mélisande Albert, Yann Bouret, Magalie Fromont +1
Motivated by a neuroscience question about synchrony detection in spike train analysis, we deal with the independence testing problem for point processes. We introduce non-parametr…