Cpaior 2022: Learning Optimal Fair Classification Trees

CPAIOR 2022: Learning Optimal Fair Classification Trees

CPAIOR 2022: Leveraging Integer Linear Programming to Learn Optimal Fair Rule Lists

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StatQuest with Josh Starmer

Optimal Sparse Decision Trees (OSDT)

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CPAIOR 2022: Learning, Optimization, and Generalization in the Predict-then-Optimize Setting

PyDL8.5: a Library for Learning Optimal Decision Trees

Oktay Günlük: "Fair and Interpretable Decision Rules for Binary Classification"

Institute for Pure & Applied Mathematics (IPAM)

CPAIOR 2022: A Learning Large Neighborhood Search for the Staff Rerostering Problem

DEMO Presentation - Field Trials

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Optimal Classification Trees and Interpretable AI by Dr. Dimitris Bertsimas of MIT

CPAIOR 2021 Master Class: Formal Reasoning Methods in Machine Learning Explainability

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CPAIOR 2022 Keynote: Deep Learning and Neural Network Accelerators for Combinatorial Optimization