learning theory, statistical learning theory, statistics
Present
uncertainty quantification, inverse problems, Bayesian inverse problems
Present
Bayesian inference, nonparametric statistics, posterior consistency
Present
operator learning, operator networks, neural operators, scientific machine learning
Present
functional data analysis, function spaces, partial differential equations
Present
kernel methods, kernel regression, Gaussian processes, random features
Present