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Learning User Representations in Online Social Networks using Temporal Dynamics of Information Diffusion.

, , and . CoRR, (2017)

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Fair Predictors under Distribution Shift., , , and . CoRR, (2019)Segmenting across places: The need for fair transfer learning with satellite imagery., , , and . CVPR Workshops, page 2915-2924. IEEE, (2022)Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium., , , , , , , , , and 33 other author(s). CoRR, (2024)Machine Learning for Health (ML4H) 2023., , , , , , , , , and 21 other author(s). ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 1-12. PMLR, (2023)Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens., , , , , , , , , and . CLeaR, volume 236 of Proceedings of Machine Learning Research, page 587-608. PMLR, (2024)A Brief Tutorial on Sample Size Calculations for Fairness Audits., , , , , and . CoRR, (2023)Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study., , , , , , , , , and . CoRR, (2023)"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts., , , and . CoRR, (2022)A hierarchical decomposition for explaining ML performance discrepancies., , , , and . CoRR, (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)