Algorithmic Stability, Generalization, and Privacy for Diffusion Models

On nonparametric approaches to stochastic control

Fusion Learning: Combining Inferences from Diverse Data Sources

Testing for outliers with conformal p-values

Demographic parity constraint for algorithmic fairness : a statistical perspective

E is for Evidence

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

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

Fantastic sensitivity measures and where to find them

Estimating functionals under local differential privacy

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

Regularisation of differential equations by multiplicative fractional noises

Differential Privacy and Bayesian Computation: Two Vignettes

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

"Binary branching processes with Moran type interactions"

"Relaxing Gaussian assumptions in high dimensional statistical procedures"

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

"Optimal ranking in crowd-sourcing"

"Nonlinear functionals estimation under local differential privacy"