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arXiv · 2002.04679

IPBoost -- Non-Convex Boosting via Integer Programming

Marc E. Pfetsch·Sebastian Pokutta
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Abstract

Recently non-convex optimization approaches for solving machine learning problems have gained significant attention. In this paper we explore non-convex boosting in classification by means of integer programming and demonstrate real-world practicability of the approach while circumventing shortcomings of convex boosting approaches. We report results that are comparable to or better than the current state-of-the-art.

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BibTeXRIS

Marc E. Pfetsch, Sebastian Pokutta. 2020-02-11. IPBoost -- Non-Convex Boosting via Integer Programming. https://arxiv.org/abs/2002.04679

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