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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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Auditing Pointwise Reliability Subsequent to Training

Jan 02, 2019
Peter Schulam, Suchi Saria

* To appear in the proceedings of Artificial Intelligence and Statistics (AISTATS) 2019 

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Learning Predictive Models That Transport

Dec 11, 2018
Adarsh Subbaswamy, Peter Schulam, Suchi Saria

* Presented at the Causal Learning Workshop at NeurIPS 2018 

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Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms

Aug 09, 2018
Adarsh Subbaswamy, Suchi Saria

* Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence (UAI), 2018. Revised from print version 

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Reliable Decision Support using Counterfactual Models

Feb 01, 2018
Peter Schulam, Suchi Saria

* Published in the proceedings of Neural Information Processing Systems (NIPS) 2017 

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Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions

Nov 05, 2017
Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria

* In Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence (UAI-2017), Sydney, Australia, August 2017. The first two authors contributed equally to this work 

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Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction

Aug 16, 2017
Hossein Soleimani, James Hensman, Suchi Saria

* To appear in IEEE Transaction on Pattern Analysis and Machine Intelligence 

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A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves

Dec 10, 2016
Yanbo Xu, Yanxun Xu, Suchi Saria

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Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models

Apr 20, 2016
Daniel P. Robinson, Suchi Saria

* Authors contributed equally to this work. To appear in IJCAI 2016, Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016 

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A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure

Jan 21, 2016
Peter Schulam, Suchi Saria

* Appeared in Neural Information Processing Systems (NIPS) 2015 

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Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking

Dec 18, 2015
Andy J Ma, Pong C Yuen, Suchi Saria

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Learning (Predictive) Risk Scores in the Presence of Censoring due to Interventions

Jul 27, 2015
Kirill Dyagilev, Suchi Saria

* Machine Learning Journal, Special Issue on on Machine Learning for Health and Medicine, pp. 1-26, 2015 

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Reasoning at the Right Time Granularity

Jun 20, 2012
Suchi Saria, Uri Nodelman, Daphne Koller

* Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007) 

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Discovering shared and individual latent structure in multiple time series

Aug 12, 2010
Suchi Saria, Daphne Koller, Anna Penn

* Additional supplementary section in tex file 

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