Mixed integer linear optimization formulations for learning optimal
binary classification trees

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Mixed integer linear optimization formulations for learning optimal binary classification trees

10 June 2022

Hamidreza Validi

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Papers citing "Mixed integer linear optimization formulations for learning optimal binary classification trees"

9 / 9 papers shown

Title
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features Rahul Mazumder X. Meng Haoyue Wang 49 15 0 23 Jun 2022
Optimal randomized classification trees R. Blanquero E. Carrizosa Antonios Tsourdos Dolores Romero Morales 225 47 0 19 Oct 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 105 2 0 21 Apr 2021
Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree H. Albaqami Ghulam Mubashar Hassan A. Subasi A. Datta 54 70 0 18 Dec 2020
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees Haoran Zhu Pavankumar Murali Dzung Phan Lam M. Nguyen Jayant Kalagnanam 158 37 0 06 Nov 2020
Graph and graphon neural network stability Luana Ruiz Zhiyang Wang Alejandro Ribeiro GNN 118 17 0 23 Oct 2020
FAHT: An Adaptive Fairness-aware Decision Tree Classifier Wenbin Zhang Eirini Ntoutsi FaML 59 111 0 16 Jul 2019
Boolean Decision Rules via Column Generation S. Dash Oktay Gunluk Dennis L. Wei 67 175 0 24 May 2018
Learning Certifiably Optimal Rule Lists for Categorical Data E. Angelino Nicholas Larus-Stone Daniel Alabi Margo Seltzer Cynthia Rudin 115 195 0 06 Apr 2017

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