Tan, Sarah

5 publications

MLJ 2023 Considerations When Learning Additive Explanations for Black-Box Models Sarah Tan, Giles Hooker, Paul Koch, Albert Gordo, Rich Caruana

NeurIPS 2023 Error Discovery by Clustering Influence Embeddings Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan

ICLRW 2023 Error Discovery by Clustering Influence Embeddings Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan

CHIL 2023 Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help? Zhi Chen, Sarah Tan, Urszula Chajewska, Cynthia Rudin, Rich Caruna

AISTATS 2020 Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models Benjamin Lengerich, Sarah Tan, Chun-Hao Chang, Giles Hooker, Rich Caruana