kernel mean embedding, Hilbert space embedding of distributions
2011 – 2021
machine learning, kernel methods, reproducing kernel Hilbert space
2011 – 2021
causal inference, counterfactual prediction, statistical learning theory
2011 – 2021
domain adaptation, domain generalization, out-of-distribution generalization
2011 – 2021