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Machine Learning for Health symposium 2022 -- Extended Abstract track


Nov 28, 2022
Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy

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"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts


Oct 19, 2022
Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi

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Towards Robust Off-Policy Evaluation via Human Inputs


Sep 18, 2022
Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez, Himabindu Lakkaraju

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* 10 pages, 5 figures, 1 table. Appeared at AIES '22: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. Expanded version of arXiv:2103.15933 

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Generalizing Off-Policy Evaluation From a Causal Perspective For Sequential Decision-Making


Jan 20, 2022
Sonali Parbhoo, Shalmali Joshi, Finale Doshi-Velez

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Pre-emptive learning-to-defer for sequential medical decision-making under uncertainty


Sep 13, 2021
Shalmali Joshi, Sonali Parbhoo, Finale Doshi-Velez

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Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing


Aug 27, 2021
Sindhu C. M. Gowda, Shalmali Joshi, Haoran Zhang, Marzyeh Ghassemi

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* Published in CIKM 2021 

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On the Connections between Counterfactual Explanations and Adversarial Examples


Jun 18, 2021
Martin Pawelczyk, Shalmali Joshi, Chirag Agarwal, Sohini Upadhyay, Himabindu Lakkaraju

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An Empirical Framework for Domain Generalization in Clinical Settings


Apr 15, 2021
Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi

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* Published at ACM CHIL 2021 

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Learning Under Adversarial and Interventional Shifts


Mar 29, 2021
Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez, Himabindu Lakkaraju

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* 19 pages including 5 pages appendix, 6 figures, 2 tables. Preliminary version presented at Causal Discovery & Causality-Inspired Machine Learning Workshop 2020 

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