Scholar
Hayden McTavish
Google Scholar ID: OV_VJ-8AAAAJ
PhD student, Duke University
interpretability
machine learning
education
Follow
Google Scholar
↗
Citations & Impact
All-time
Citations
95
H-index
4
i10-index
1
Publications
8
Co-authors
18
list available
Publications
8 items
ArborEnum: Decision Tree Rashomon Sets over Continuous Features
2026
Cited
0
Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again
2026
Cited
0
CLARITree: Cholesky and Lookahead Accelerations for Regression with Interpretable Piecewise Linear Trees
2026
Cited
0
From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets
2026
Cited
0
REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees
2026
Cited
0
Leveraging Predictive Equivalence in Decision Trees
2025
Cited
0
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
2025
Cited
0
Near Optimal Decision Trees in a SPLIT Second
2025
Cited
0
Co-authors
10 total
Cynthia Rudin
Professor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke University
Margo Seltzer
University of British Columbia
Chudi Zhong
University of North Carolina at Chapel Hill
Jon Donnelly
PhD Student at Duke University
Anshul Shah
UC San Diego
Adalbert Gerald Soosai Raj
Associate Teaching Professor, UC San Diego
Kristen Vaccaro
University of California San Diego
Alina Jade Barnett
Duke University
