We are conducting research and development on "AI-based Knowledge Discovery". Recently, We have started a joint research project with [Duke University's Interpretable Machine Learning Lab (https://users.cs.duke.edu/~cynthia/lab.html), and the research result, "Exploring the Whole Rashomon Set of Sparse Decision Trees," has been accepted by NeurIPS2022. This article briefly introduces the contents of the paper.
- Title： Exploring the Whole Rashomon Set of Sparse Decision Trees (Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo Seltzer, Cynthia Rudin)
- Conference：Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)
- Link to the accepted paper