The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination

TL;DR

Inspired by recent work on learning with distribution shift, we give a general outlier removal algorithm called *iterative polynomial filtering* and show a number of striking applications for supervis…

Opening excerpt from the authors’ abstract. source