Direct Gibbs posterior inference on risk minimizers: construction, concentration, and calibration

Ryan Martin, Nicholas Syring

Real-world problems, often couched as machine learning applications, involve quantities of interest that have real-world meaning, independent of any statistical model. To avoid pot…