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Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty

Nov 15, 2020
Umang Bhatt, Yunfeng Zhang, Javier Antorán, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Adrian Weller, Alice Xiang

* 19 pages, 6 figures 

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Causal Multi-Level Fairness

Oct 14, 2020
Vishwali Mhasawade, Rumi Chunara


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Machine Learning in Population and Public Health

Jul 21, 2020
Vishwali Mhasawade, Yuan Zhao, Rumi Chunara


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Fair Predictors under Distribution Shift

Nov 02, 2019
Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara

* 11 pages main and 3 pages supplementary, Workshop on Fair ML for Health at Conference on Neural Information Processing Systems (NeurIPS) 2019 

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Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning

Sep 13, 2019
Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara


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Using Contextual Information to Improve Blood Glucose Prediction

Aug 24, 2019
Mohammad Akbari, Rumi Chunara

* 17 pages, 3 figures 

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Deep Landscape Features for Improving Vector-borne Disease Prediction

Apr 03, 2019
Nabeel Abdur Rehman, Umar Saif, Rumi Chunara

* 10 pages, 3 figures, 1 table 

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Population-aware Hierarchical Bayesian Domain Adaptation

Nov 21, 2018
Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts

Jun 22, 2018
Nabeel Abdur Rehman, Maxwell Matthaios Aliapoulios, Disha Umarwani, Rumi Chunara

* Main: 18 pages, 2 figures, 2 tables. Appendix: 5 tables 

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