2 papers
math.ST2020
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…
math.ST2019
Local minimax rates for closeness testing of discrete distributions
Joseph Lam-Weil, Alexandra Carpentier, Bharath K. Sriperumbudur
We consider the closeness testing problem for discrete distributions. The goal is to distinguish whether two samples are drawn from the same unspecified distribution, or whether th…