Generalized and Scalable Optimal Sparse Decision Trees. - Jimmy Lin; Chudi Zhong; Diane Hu; Cynthia Rudin; Margo I. Seltzer (ICML, 2020)

Generalized Optimal Sparse Decision Trees. - Jimmy Lin; Chudi Zhong; Diane Hu; Cynthia Rudin; Margo I. Seltzer (CoRR, 2020)

Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges. - Cynthia Rudin; Chaofan Chen; Zhi Chen 009; Haiyang Huang 003; Lesia Semenova; Chudi Zhong (CoRR, 2021)

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)

Fast Sparse Classification for Generalized Linear and Additive Models. - Jiachang Liu 001; Chudi Zhong; Margo I. Seltzer; Cynthia Rudin (AISTATS, 2022)

FasterRisk: Fast and Accurate Interpretable Risk Scores. - Jiachang Liu 001; Chudi Zhong; Boxuan Li; Margo I. Seltzer; Cynthia Rudin (NeurIPS, 2022)

Exploring the Whole Rashomon Set of Sparse Decision Trees. - Rui Xin 002; Chudi Zhong; Zhi Chen 009; Takuya Takagi; Margo I. Seltzer; Cynthia Rudin (NeurIPS, 2022)

TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization. - Zijie J. Wang; Chudi Zhong; Rui Xin 002; Takuya Takagi; Zhi Chen 009; Duen Horng Chau; Cynthia Rudin; Margo I. Seltzer (IEEE VIS (Short Papers), 2022)

OKRidge: Scalable Optimal k-Sparse Ridge Regression. - Jiachang Liu 001; Sam Rosen; Chudi Zhong; Cynthia Rudin (NeurIPS, 2023)

Exploring and Interacting with the Set of Good Sparse Generalized Additive Models. - Chudi Zhong; Zhi Chen 009; Jiachang Liu 001; Margo I. Seltzer; Cynthia Rudin (NeurIPS, 2023)

Understanding and Exploring the Whole Set of Good Sparse Generalized Additive Models. - Zhi Chen 009; Chudi Zhong; Margo I. Seltzer; Cynthia Rudin (CoRR, 2023)

OKRidge: Scalable Optimal k-Sparse Ridge Regression for Learning Dynamical Systems. - Jiachang Liu 001; Sam Rosen; Chudi Zhong; Cynthia Rudin (CoRR, 2023)

Position: Amazing Things Come From Having Many Good Models. - Cynthia Rudin; Chudi Zhong; Lesia Semenova; Margo I. Seltzer; Ronald Parr; Jiachang Liu 001; Srikar Katta; Jon Donnelly; Harry Chen; Zachery Boner (ICML, 2024)

Amazing Things Come From Having Many Good Models. - Cynthia Rudin; Chudi Zhong; Lesia Semenova; Margo I. Seltzer; Ronald Parr; Jiachang Liu 001; Srikar Katta; Jon Donnelly; Harry Chen; Zachery Boner (CoRR, 2024)

Models That Are Interpretable But Not Transparent. - Chudi Zhong; Panyu Chen; Cynthia Rudin (AISTATS, 2025)