Marzyeh Ghassemi
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Haoran Zhang
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A comparison of approaches to improve worst-case predictive model performance over patient subpopulations
Improving the Fairness of Chest X-ray Classifiers
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations
An empirical framework for domain generalization in clinical settings
Learning Optimal Predictive Checklists
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare
Hurtful words: quantifying biases in clinical contextual word embeddings
Self-supervised contrastive learning of protein representations by mutual information maximization
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