Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features - researchr publication authors

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Rahul Mazumder, Xiang Meng, Haoyue Wang. Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 15255-15277, PMLR, 2022. [doi]

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