The core tenet of the kernel method in machine learning is that it allows one to apply linear statistical methods to datasets that are complex and nonlinear in nature. The kernel function K ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...