Derivation of killed processes: Applications in Finance

Robust gradient-based sampling algorithms using skew-symmetric numerical schemes

Optimal Transport Dependency

Differentially private M-estimation via noisy optimization

The sample complexity of simple binary hypothesis testing

Inferring natural selection and allele age from allele frequency time series data via exact simulation

Tail index regression forest

A connection between tempering and entropic mirror descent

Bayesian nonparametric adaptation with heavy-tailed priors

The power of cooperation in networks of learning agents

Statistical convergence rates for transport- and ODE-based generative models

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