Jamie Radcliffe

Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma

This paper studies replicability in machine learning tasks from a geometric viewpoint. Recent works have revealed the role of geometric partitions and Sperner's lemma (and its variations) in designing replicable learning algorithms and in establishing impossibility results. A partition $\mathcal…