2018
NeurIPS
NeurIPS 2018
Learning convex polytopes with margin
Abstract
We present improved algorithm for properly learning convex polytopes in the realizable PAC setting from data with a margin. Our learning algorithm constructs a consistent polytope as an intersection of about t log t halfspaces with margins in time polynomial in t (where t is the number of halfspaces forming an optimal polytope). We also identify distinct generalizations of the notion of margin from hyperplanes to polytopes and investigate how they relate geometrically; this result may be of interest beyond the learning setting.
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Interdisciplinary Bridge
- Artificial Intelligence and Mathematics & Optimization
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Hot Topic Early Bird
- pac learning