Until now, no tabular method has consistently outperformed classical supervised learning, which ignores these shifts.

Humans have a powerful and mysterious capacity to reason.

Monte Carlo stopping rules in a manner that is both sample efficient and robust to estimation error.

Beyond estimating parameters of interest from data, one of the key goals of statistical inference is to properly quantify uncertainty in these estimates.