"New Lower and Upper Bounds for Quantile Summary Algorithms"

"Mean-field games: the linear programming approach"

"Nonlinear functionals estimation under local differential privacy"

"Optimal ranking in crowd-sourcing"

"A theoretical comparison of deep learning and Bayes with deep Gaussian process priors"

"Relaxing Gaussian assumptions in high dimensional statistical procedures"

"Binary branching processes with Moran type interactions"

Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces

Differential Privacy and Bayesian Computation: Two Vignettes

Regularisation of differential equations by multiplicative fractional noises

Optimal transport to measure the impact of the prior in Bayesian nonparametrics

Estimating functionals under local differential privacy

Fantastic sensitivity measures and where to find them

Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility

Deconvolution with unknown noise distribution is possible. Application to distribution and support learning.

E is for Evidence

Demographic parity constraint for algorithmic fairness : a statistical perspective

Testing for outliers with conformal p-values

Fusion Learning: Combining Inferences from Diverse Data Sources