Bayesian optimisation is a popular technique for hyperparameter learning...
Kernel two-sample testing is a useful statistical tool in determining wh...
While a typical supervised learning framework assumes that the inputs an...
Distribution regression has recently attracted much interest as a generi...
Kernel embeddings of distributions and the Maximum Mean Discrepancy (MMD...