activity
20182026
most citedStable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound

5 citations · 9 across the 8 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

stat.ML2026

Sharp margin-based generalization bounds for realizable SVM

Steve Hanneke, Aryeh Kontorovich

Let the exact homogeneous hard-margin support vector machine be trained on \(m\) independent observations from a Borel probability law on a real Hilbert space. We prove that, with…

cs.LG2026

Realizable Bayes-Consistency for General Metric Losses

Dan Tsir Cohen, Steve Hanneke, Aryeh Kontorovich

We study strong universal Bayes-consistency in the realizable setting for learning with general metric losses, extending classical characterizations beyond - classification (…