Fast Sparse Decision Tree Optimization via Reference Ensembles. - Hayden McTavish; Chudi Zhong; Reto Achermann; Ilias Karimalis; Jacques Chen; Cynthia Rudin; Margo I. Seltzer (AAAI, 2022)

Engagement and Anonymity in Online Computer Science Course Forums. - Mrinal Sharma; Hayden McTavish; Zimo Peng; Anshul Shah; Vardhan Agarwal; Caroline Sih; Emma Hogan; Ismael Villegas Molina; Adalbert Gerald Soosai Raj; Kristen Vaccaro (ICER (1), 2023)

Instructor Perspectives on Prerequisite Courses in Computing. - Sophia Krause-Levy; Adrian Salguero; Rachel S. Lim; Hayden McTavish; Jelena Trajkovic; Leo Porter 001; William G. Griswold (SIGCSE (1), 2023)

Interpretable Generalized Additive Models for Datasets with Missing Values. - Hayden McTavish; Jon Donnelly; Margo I. Seltzer; Cynthia Rudin (NeurIPS, 2024)

Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time. - Jon Donnelly; Zhicheng Guo; Alina Jade Barnett; Hayden McTavish; Chaofan Chen; Cynthia Rudin (CVPR, 2025)

Near Optimal Decision Trees in a SPLIT Second. - Varun Babbar; Hayden McTavish; Cynthia Rudin; Margo I. Seltzer (CoRR, 2025)

Leveraging Predictive Equivalence in Decision Trees. - Hayden McTavish; Zachery Boner; Jon Donnelly; Margo I. Seltzer; Cynthia Rudin (CoRR, 2025)