Generalized and Scalable Optimal Sparse Decision Trees
Cynthia Rudin , Jimmy Lin , Margo Seltzer , Diane Hu
international conference on machine learning 1 6150 -6160
72
2020
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
Cynthia Rudin , Chaofan Chen , Lesia Semenova , Zhi Chen
arXiv: Learning
218
2021
TimberTrek: Exploring and curating sparse decision trees with interactive visualization
Zijie J Wang , Chudi Zhong , Rui Xin , Takuya Takagi
2022 IEEE Visualization and Visual Analytics (VIS) 60 -64
13
2022
Exploring the whole rashomon set of sparse decision trees
Rui Xin , Chudi Zhong , Zhi Chen , Takuya Takagi
Advances in neural information processing systems 35 14071 -14084
41
2022
Fast sparse decision tree optimization via reference ensembles
Hayden McTavish , Chudi Zhong , Reto Achermann , Ilias Karimalis
Proceedings of the AAAI conference on artificial intelligence 36 ( 9) 9604 -9613
27
2022
Fast sparse classification for generalized linear and additive models
Jiachang Liu , Chudi Zhong , Margo Seltzer , Cynthia Rudin
Proceedings of machine learning research 151 9304 -9304
17
2022
FasterRisk: Fast and accurate interpretable risk scores
Jiachang Liu , Chudi Zhong , Boxuan Li , Margo Seltzer
Advances in Neural Information Processing Systems 35 17760 -17773
10
2022
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
Chudi Zhong , Zhi Chen , Jiachang Liu , Margo Seltzer
Advances in Neural Information Processing Systems 36
2
2024
OKRidge: Scalable Optimal k-Sparse Ridge Regression
Jiachang Liu , Sam Rosen , Chudi Zhong , Cynthia Rudin
Advances in Neural Information Processing Systems 36
1
2024
Amazing Things Come From Having Many Good Models
Cynthia Rudin , Chudi Zhong , Lesia Semenova , Margo Seltzer