Seminars in Statistics
"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"
"Pro-Cyclicality Beyond Business Cycles: The Case of Traditional Risk Measurements"
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