Chudi Zhong - RankMe

23 papers A* 7A 2Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Many Ways to be Right: Rashomon Sets for Concept-Based Neural Networks. CoRR Shihan Feng, Cheng Zhang, Michael Xi, Ethan Hsu, Lesia Semenova, Chudi Zhong
2025	A	`conf`	Models That Are Interpretable But Not Transparent. AISTATS Chudi Zhong, Panyu Chen, Cynthia Rudin
2025	J	`jnl`	Models That Are Interpretable But Not Transparent. CoRR Chudi Zhong, Panyu Chen, Cynthia Rudin
2025	J	`jnl`	The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning. CoRR Ethan Hsu, Harry Chen, Chudi Zhong, Lesia Semenova
2024	J	`jnl`	Amazing Things Come From Having Many Good Models. CoRR Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo I. Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner
2024	A*	`conf`	Position: Amazing Things Come From Having Many Good Models. ICML Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo I. Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner
2023	A*	`conf`	Exploring and Interacting with the Set of Good Sparse Generalized Additive Models. NeurIPS Chudi Zhong, Zhi Chen, Jiachang Liu, Margo I. Seltzer, Cynthia Rudin
2023	J	`jnl`	OKRidge: Scalable Optimal k-Sparse Ridge Regression for Learning Dynamical Systems. CoRR Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin
2023	A*	`conf`	OKRidge: Scalable Optimal k-Sparse Ridge Regression. NeurIPS Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin
2023	J	`jnl`	Understanding and Exploring the Whole Set of Good Sparse Generalized Additive Models. CoRR Zhi Chen, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin
2022	A*	`conf`	Exploring the Whole Rashomon Set of Sparse Decision Trees. NeurIPS Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo I. Seltzer, Cynthia Rudin
2022	J	`jnl`	Exploring the Whole Rashomon Set of Sparse Decision Trees. CoRR Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo I. Seltzer, Cynthia Rudin
2022	A	`conf`	Fast Sparse Classification for Generalized Linear and Additive Models. AISTATS Jiachang Liu, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin
2022	J	`jnl`	Fast Sparse Classification for Generalized Linear and Additive Models. CoRR Jiachang Liu, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin
2022	A*	`conf`	Fast Sparse Decision Tree Optimization via Reference Ensembles. AAAI Hayden McTavish, Chudi Zhong, Reto Achermann, Ilias Karimalis, Jacques Chen, Cynthia Rudin, Margo I. Seltzer
2022	A*	`conf`	FasterRisk: Fast and Accurate Interpretable Risk Scores. NeurIPS Jiachang Liu, Chudi Zhong, Boxuan Li, Margo I. Seltzer, Cynthia Rudin
2022	J	`jnl`	FasterRisk: Fast and Accurate Interpretable Risk Scores. CoRR Jiachang Liu, Chudi Zhong, Boxuan Li, Margo I. Seltzer, Cynthia Rudin
2022	—	`conf`	TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization. IEEE VIS (Short Papers) Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer
2022	J	`jnl`	TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization. CoRR Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer
2021	J	`jnl`	Fast Sparse Decision Tree Optimization via Reference Ensembles. CoRR Hayden McTavish, Chudi Zhong, Reto Achermann, Ilias Karimalis, Jacques Chen, Cynthia Rudin, Margo I. Seltzer
2021	J	`jnl`	Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges. CoRR Cynthia Rudin, Chaofan Chen, Zhi Chen, Haiyang Huang, Lesia Semenova, Chudi Zhong
2020	J	`jnl`	Generalized Optimal Sparse Decision Trees. CoRR Jimmy Lin, Chudi Zhong, Diane Hu, Cynthia Rudin, Margo I. Seltzer
2020	A*	`conf`	Generalized and Scalable Optimal Sparse Decision Trees. ICML Jimmy Lin, Chudi Zhong, Diane Hu, Cynthia Rudin, Margo I. Seltzer