Optimal classification trees. - Dimitris Bertsimas; Jack Dunn (Mach. Learn., 2017)

Robust Classification. - Dimitris Bertsimas; Jack Dunn; Colin Pawlowski; Ying Daisy Zhuo (INFORMS J. Optim., 2019)

Optimal Prescriptive Trees. - Dimitris Bertsimas; Jack Dunn; Nishanth Mundru (INFORMS J. Optim., 2019)

Interpretable Predictive Maintenance for Hard Drives. - Maxime Amram; Jack Dunn; Jeremy J. Toledano; Ying Daisy Zhuo (CoRR, 2021)

Comparing interpretability and explainability for feature selection. - Jack Dunn; Luca Mingardi; Ying Daisy Zhuo (CoRR, 2021)

Near-optimal Nonlinear Regression Trees. - Dimitris Bertsimas; Jack Dunn; Yuchen Wang (Oper. Res. Lett., 2021)

Stable Classification. - Dimitris Bertsimas; Jack Dunn; Ivan S. Paskov (J. Mach. Learn. Res., 2022)

Optimal policy trees. - Maxime Amram; Jack Dunn; Ying Daisy Zhuo (Mach. Learn., 2022)

Optimal survival trees. - Dimitris Bertsimas; Jack Dunn; Emma Gibson; Agni Orfanoudaki (Mach. Learn., 2022)

Sparse regression over clusters: SparClur. - Dimitris Bertsimas; Jack Dunn; Lea Kapelevich; Rebecca Zhang (Optim. Lett., 2022)

Detecting Racial Bias in Jury Selection. - Jack Dunn; Ying Daisy Zhuo (Oper. Res. Forum, 2022)