Replicability in Learning: Geometric Partitions and Sperner-KKM Lemma

Neural Information Processing Systems 

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.

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