Learning Optimal Classification Trees: Strong Max-Flow Formulations

21 February 2020

Papers citing "Learning Optimal Classification Trees: Strong Max-Flow Formulations"

6 / 6 papers shown

Title
Interpretable Decision Tree Search as a Markov Decision Process Hector Kohler R. Akrour Philippe Preux 26 2 0 22 Sep 2023
Rolling Lookahead Learning for Optimal Classification Trees Z. B. Organ Enis Kayış Taghi Khaniyev 21 0 0 21 Apr 2023
Optimal Decision Diagrams for Classification Alexandre M. Florio P. Martins Maximilian Schiffer Thiago Serra Thibaut Vidal 33 13 0 28 May 2022
On multivariate randomized classification trees: $l_0$ -based sparsity, VC~dimension and decomposition methods E. Amaldi Antonio Consolo A. Manno 26 1 0 09 Dec 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 61 655 0 20 Mar 2021
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees Haoran Zhu Pavankumar Murali Dzung Phan Lam M. Nguyen Jayant Kalagnanam 17 37 0 06 Nov 2020