A Provable Algorithm for Learning Interpretable Scoring Systems - researchr publication authors

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Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker. A Provable Algorithm for Learning Interpretable Scoring Systems. In Amos J. Storkey, Fernando Pérez-Cruz, editors, International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain. Volume 84 of Proceedings of Machine Learning Research, pages 566-574, PMLR, 2018. [doi]

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