Poster
IPBoost – Non-Convex Boosting via Integer Programming
Marc Pfetsch · Sebastian Pokutta
Keywords: [ Boosting / Ensemble Methods ] [ Supervised Learning ] [ Non-convex Optimization ] [ Combinatorial Optimization ]
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 circumvent- ing shortcomings of convex boosting approaches. We report results that are comparable to or better than the current state-of-the-art.