This is Jessica. Recently I attended part of a workshop on distribution-free uncertainty quantification, which piqued my interest in what machine learning researchers are doing to express uncertainty in prediction accuracy. At one point during a panel Michael Jordan of Berkeley alluded to how uncertainty quantification has long been a niche topic in ML, and …