Interpretable Multiway-Split Trees

Bo Chi^†*, Yulin Zhang^†*, Chudi Zhong, Cynthia Rudin

NeurIPS 2026

Diverse Representative Rashomon Sets for Sparse Generalized Additive Models

Varun Babbar^†, Christopher Li^†, Chudi Zhong, Cynthia Rudin

NeurIPS 2026

Chain-of-Thought Oversight Should Not Treat Faithfulness as Monitorability

Sichao Li, Sai Ma, Xiyang Hu, Chudi Zhong, Tongliang Liu

NeurIPS 2026

Parameter-Efficient Construction of the Rashomon Slice for Concept Bottleneck Models

Shihan Feng^†*, Cheng Zhang^†*, Michael Xi^† Ethan Hsu^†, Lesia Semenova, Chudi Zhong

TMLR 2026

The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning

Ethan Hsu^†*, Harry Chen^†*, Chudi Zhong, Lesia Semenova

ICML 2026 (Spotlight)

Spotlight Paper at ICML 2026

The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity

Ethan Hsu^†, Tony Cao^†, Lesia Semenova, Chudi Zhong

NeurIPS 2025

Models That Are Interpretable But Not Transparent

Chudi Zhong, Panyu Chen, Cynthia Rudin

AISTATS 2025

The Amazing Things that Come From Having Many Good Models

Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner

ICML 2024 (Spotlight)

Spotlight Paper at ICML 2024

Exploring and Interacting with the Set of Good Sparse Generalized Additive Models

Chudi Zhong*, Zhi Chen*, Jiachang Liu, Margo Seltzer, Cynthia Rudin

NeurIPS 2023

OKRidge: Scalable Optimal k-Sparse Ridge Regression for Learning Dynamical Systems

Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin

NeurIPS 2023 (Spotlight)

Spotlight Paper at NeurIPS 2023

Exploring the Whole Rashomon Set of Sparse Decision Trees

Rui Xin*, Chudi Zhong*, Zhi Chen*, Takuya Takagi, Margo Seltzer, Cynthia Rudin

NeurIPS 2022 (Oral)

Oral Paper at NeurIPS 2022

Finalist, Data Mining Best Student Paper Award, INFORMS, 2022

FasterRisk: Fast and Accurate Interpretable Risk Scores

Jiachang Liu*, Chudi Zhong*, Boxuan Li, Margo Seltzer, Cynthia Rudin

NeurIPS 2022

TimberTrek: Exploring and Curating Trustworthy Decision Trees with Interactive Visualization

Zijie Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo Seltzer

IEEE VIS 2022

Fast Sparse Classification for Generalized Linear and Additive Models

Jiachang Liu, Chudi Zhong, Margo Seltzer, Cynthia Rudin

AISTATS 2022

Fast Sparse Decision Tree Optimization via Reference Ensembles

Hayden McTavish*, Chudi Zhong*, Reto Achermann, Ilias Karimalis, Jacques Chen, Cynthia Rudin, Margo Seltzer

AAAI 2022

Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges

Cynthia Rudin, Chaofan Chen, Zhi Chen, Haiyang Huang, Lesia Semenova, Chudi Zhong

Statistics Surveys 2022

Generalized and Scalable Optimal Sparse Decision Trees

Jimmy Lin*, Chudi Zhong*, Diane Hu, Cynthia Rudin, Margo Seltzer

ICML 2020