Author of the publication

What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use.

, , , and . MLHC, volume 106 of Proceedings of Machine Learning Research, page 359-380. PMLR, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Confounding Feature Acquisition for Causal Effect Estimation., , , and . ML4H@NeurIPS, volume 136 of Proceedings of Machine Learning Research, page 379-396. PMLR, (2020)Towards Robust and Reliable Algorithmic Recourse., , and . NeurIPS, page 16926-16937. (2021)What's fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB., , , , , , , , , and 5 other author(s). FAccT, page 1505-1519. ACM, (2023)Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness., , , , and . FAccT, page 149-160. ACM, (2021)"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 41550-41578. PMLR, (2023)Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis., , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 4574-4594. PMLR, (2022)What went wrong and when? Instance-wise Feature Importance for Time-series Models., , , and . CoRR, (2020)What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use., , , and . MLHC, volume 106 of Proceedings of Machine Learning Research, page 359-380. PMLR, (2019)Towards Safe Policy Learning under Partial Identifiability: A Causal Approach., , and . AAAI, page 13004-13012. AAAI Press, (2024)Machine Learning for Health (ML4H) 2022., , , , , , , , , and 14 other author(s). ML4H@NeurIPS, volume 193 of Proceedings of Machine Learning Research, page 1-11. PMLR, (2022)