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arXiv · 1404.3368

Near-optimal sample compression for nearest neighbors

Lee-Ad Gottlieb·Aryeh Kontorovich·Pinhas Nisnevitch
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Abstract

We present the first sample compression algorithm for nearest neighbors with non-trivial performance guarantees. We complement these guarantees by demonstrating almost matching hardness lower bounds, which show that our bound is nearly optimal. Our result yields new insight into margin-based nearest neighbor classification in metric spaces and allows us to significantly sharpen and simplify existing bounds. Some encouraging empirical results are also presented.

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Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch. 2014-04-13. Near-optimal sample compression for nearest neighbors. https://arxiv.org/abs/1404.3368

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