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Proceedings of Machine Learning Research|June 27, 2025
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased DecisionsTrenton Chang, Jenna Wiens
Proceedings of Machine Learning Research|May 8, 2023
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine LearningTrenton Chang, Michael W Sjoding, Jenna Wiens
Advances in Neural Information Processing Systems|December 15, 2025
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy EvaluationShengpu Tang, Jenna Wiens
Proceedings of Machine Learning Research|June 15, 2022
Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare SettingsShengpu Tang, Jenna Wiens
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|October 12, 2017
Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare EpidemiologyJenna Wiens, Erica S Shenoy
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Patient-specific ventricular beat classification without patient-specific expert knowledge: a transfer learning approachJenna Wiens, John V Guttag
Journal of the American Medical Informatics Association : JAMIA|February 1, 2014
A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictionsJenna Wiens, John Guttag, Eric Horvitz
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|August 21, 2025
Learning the Probability of Activation in the Presence of Latent SpreadersMaggie Makar, John Guttag, Jenna Wiens
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