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Suchi Saria

Computer Science, Statistics, and Health Policy, Johns Hopkins University, Baltimore, MD, USA, ML, AI and Healthcare Lab, Bayesian Health, New York, NY, USA

JAWS: Predictive Inference Under Covariate Shift


Jul 21, 2022
Drew Prinster, Anqi Liu, Suchi Saria


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Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health


Dec 22, 2021
Ryan T. Scott, Erik L. Antonsen, Lauren M. Sanders, Jaden J. A. Hastings, Seung-min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart Chalk, Guillermo M. Delgado-Aparicio, Melissa Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Hector Garcia Martin, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers, Jr., Charlotte Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Frank Soboczenski, Michael Snyder, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes

* 31 pages, 4 figures 

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Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs


Dec 22, 2021
Lauren M. Sanders, Jason H. Yang, Ryan T. Scott, Amina Ann Qutub, Hector Garcia Martin, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers Jr., Charlotte Nelson, Jonathan Oribello, Seung-min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Frank Soboczenski, Michael Snyder, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes

* 28 pages, 4 figures 

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Partial Identifiability in Discrete Data With Measurement Error


Dec 23, 2020
Noam Finkelstein, Roy Adams, Suchi Saria, Ilya Shpitser


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Evaluating Model Robustness to Dataset Shift


Oct 28, 2020
Adarsh Subbaswamy, Roy Adams, Suchi Saria


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I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models


Feb 20, 2020
Adarsh Subbaswamy, Suchi Saria


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The Hierarchy of Stable Distributions and Operators to Trade Off Stability and Performance


May 28, 2019
Adarsh Subbaswamy, Bryant Chen, Suchi Saria


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Tutorial: Safe and Reliable Machine Learning


Apr 15, 2019
Suchi Saria, Adarsh Subbaswamy

* Overview of the "Safe and Reliable Machine Learning" tutorial given at the 2019 ACM Conference on Fairness, Accountability, and Transparency (FAT* 2019) 

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Active Learning for Decision-Making from Imbalanced Observational Data


Apr 10, 2019
Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski

* 20 pages, 7 figures 

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Learning Models from Data with Measurement Error: Tackling Underreporting


Jan 25, 2019
Roy Adams, Yuelong Ji, Xiaobin Wang, Suchi Saria


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