Kazuki Tanabe

A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint)

Virtually all machine learning tasks are characterized using some form of loss function, and "good performance" is typically stated in terms of a sufficiently small average loss, taken over the random draw of test data. While optimizing for performance on average is intuitive, convenient to analyze…