The statistical theory group works on the investigation of fundamental principles to perform estimation, inference and prediction in large-scale high-dimensional models, with expertise in both asymptotic and non-asymptotic methods, graphical models and causal inference, Monte Carlo methods, learning theory and optimisation for machine learning.
Computational Statistics, Monte Carlo methods
Graphical models, causality, algebraic statistics
Learning theory, Optimization, Implicit Regularization
Bayesian statistics, Asymptotics, Nonparametric statistics
Learning theory, Optimisation, Monte Carlo methods
Causal Inference, Machine Learning, Fairness