When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction

4 June 2022

Papers citing "When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction"

3 / 3 papers shown

Title
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare Arno Blaas Adam Goliñski Andrew C. Miller Luca Zappella J. Jacobsen Christina Heinze-Deml OOD 20 0 0 25 Oct 2024
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium Hyewon Jeong Sarah Jabbour Yuzhe Yang Rahul Thapta Hussein Mozannar ... Linying Zhang Harvineet Singh Tom Hartvigsen Helen Zhou Chinasa T. Okolo VLM AI4TS OOD 43 2 0 03 Mar 2024
An Algorithmic Framework for Bias Bounties Ira Globus-Harris Michael Kearns Aaron Roth FedML 95 24 0 25 Jan 2022