Zhi Chen

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Interactive Visual

Generalized Additive Models

Top Venues

Publications

Yiyang Sun, Zhi Chen, Vittorio Orlandi, Tong Wang, Cynthia Rudin
Sparse and Faithful Explanations Without Sparse Models. AISTATS (2024)
Yiyang Sun, Zhi Chen, Vittorio Orlandi, Tong Wang, Cynthia Rudin
Sparse and Faithful Explanations Without Sparse Models. CoRR (2024)
Chudi Zhong, Zhi Chen, Jiachang Liu, Margo I. Seltzer, Cynthia Rudin
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models. NeurIPS (2023)
Zhi Chen, Sarah Tan, Urszula Chajewska, Cynthia Rudin, Rich Caruana
Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help? CHIL (2023)
Zhi Chen, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin
Understanding and Exploring the Whole Set of Good Sparse Generalized Additive Models. CoRR (2023)
Zhi Chen, Sarah Tan, Urszula Chajewska, Cynthia Rudin, Rich Caruana
Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help? CoRR (2023)
Haiyang Huang, Zhi Chen, Cynthia Rudin
SegDiscover: Visual Concept Discovery via Unsupervised Semantic Segmentation. CoRR (2022)
Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization. IEEE VIS (Short Papers) (2022)
Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo I. Seltzer, Cynthia Rudin
Exploring the Whole Rashomon Set of Sparse Decision Trees. CoRR (2022)
Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo I. Seltzer, Cynthia Rudin
Exploring the Whole Rashomon Set of Sparse Decision Trees. NeurIPS (2022)
Zijie J. Wang, Chudi Zhong, Rui Xin, Takuya Takagi, Zhi Chen, Duen Horng Chau, Cynthia Rudin, Margo I. Seltzer
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization. CoRR (2022)
Zhi Chen, Sarah Tan, Harsha Nori, Kori Inkpen, Yin Lou, Rich Caruana
Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data. PKDD/ECML Workshops (1) (2021)