A Geometric Approach to Sample Compression

Abstract

The Sample Compression Conjecture of Littlestone & Warmuth has remained unsolved for over two decades. While maximum classes (concept classes meeting Sauer’s Lemma with equality) can be compressed, the compression of general concept classes reduces to compressing maximal classes (classes that cannot be expanded without increasing VC-dimension). Two promising ways forward are: embedding maximal classes into maximum classes with at most a polynomial increase to VC dimension, and compression via operating on geometric representations. This paper presents positive results on the latter approach and a first negative result on the former, through a systematic investigation of finite max-imum classes. Simple arrangements of hyperplanes in Hyperbolic space are shown to rep-resent maximum classes, generalizing the corresponding Euclidean result. We show that sweeping a generic hyperplane across such arrangements forms an unlabeled compression scheme of size VC dimension and corresponds to a special case of peeling the one-inclusion graph, resolving a recent conjecture of Kuzmin & Warmuth. A bijection between finite maximum classes and certain arrangements of Piecewise-Linear (PL) hyperplanes in eithe

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oai:CiteSeerX.psu:10.1.1.747.8934Last time updated on 10/30/2017

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