Feature Learning for Interpretable, Performant Decision Trees - researchr publication authors

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Jack H. Good, Torin Kovach, Kyle Miller 0001, Artur Dubrawski. Feature Learning for Interpretable, Performant Decision Trees. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

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