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Diagnosing failures of fairness transfer across distribution shift in real-world medical settings.

, , , , , , , , , , , , , , , , и . NeurIPS, (2022)

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Angel SanMiguel

 

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The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa., , , , , , , , , и . CoRR, (2024)Learning to (Learn at Test Time)., , , , , , , , и . CoRR, (2023)Some New Tricks for Deep Glioma Segmentation., , , , , , и . BrainLes@MICCAI (2), том 12659 из Lecture Notes in Computer Science, стр. 320-330. Springer, (2020)Finite-sample guarantees for Nash Q-learning with linear function approximation., и . UAI, том 216 из Proceedings of Machine Learning Research, стр. 424-432. PMLR, (2023)Max-Sliced Wasserstein Distance and Its Use for GANs., , , , , , , , и . CVPR, стр. 10648-10656. Computer Vision Foundation / IEEE, (2019)Optimization and Analysis of the pAp@k Metric for Recommender Systems., , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 4260-4270. PMLR, (2020)Optimizing Black-box Metrics with Iterative Example Weighting., , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 4239-4249. PMLR, (2021)Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization., , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 24770-24802. PMLR, (2022)Interpreting Black Box Predictions using Fisher Kernels., , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 3382-3390. PMLR, (2019)Adaptive Compression in Federated Learning via Side Information., , , , , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 487-495. PMLR, (2024)