Probabilistic Plan Recognition in Multiagent Systems. - Suchi Saria; Sridhar Mahadevan (ICAPS, 2004)

Microsoft Cambridge at TREC 13: Web and Hard Tracks. - Hugo Zaragoza; Nick Craswell; Michael J. Taylor 001; Suchi Saria; Stephen E. Robertson (TREC, 2004)

Reasoning at the Right Time Granularity. - Suchi Saria; Uri Nodelman; Daphne Koller (UAI, 2007)

Discovering shared and individual latent structure in multiple time series - Suchi Saria; Daphne Koller; Anna Penn (CoRR, 2010)

Discovering Deformable Motifs in Continuous Time Series Data. - Suchi Saria; Andrew Duchi; Daphne Koller (IJCAI, 2011)

Convex envelopes of complexity controlling penalties: the case against premature envelopment. - Vladimir Jojic; Suchi Saria; Daphne Koller (AISTATS, 2011)

The digital patient: machine learning techniques for analyzing electronic health record data. - Suchi Saria (2011)

Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls. - Chris Paxton 001; Suchi Saria; Alexandru Niculescu-Mizil (AMIA, 2013)

Predictive Analytics in Healthcare (HPA): Considerations and Challenges. - Suchi Saria; Gabriel J. Escobar; Paul C. Tang; Lucila Ohno-Machado; Alex Dummett (AMIA, 2014)

A $3 Trillion Challenge to Computational Scientists: Transforming Healthcare Delivery. - Suchi Saria (IEEE Intell. Syst., 2014)

Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery. - Peter Schulam; Fredrick Wigley; Suchi Saria (AAAI, 2015)

Learning a Severity Score for Sepsis: A Novel Approach based on Clinical Comparisons. - Kirill Dyagilev; Suchi Saria (AMIA, 2015)

A Probabilistic Graphical Model for Individualizing Prognosis in Chronic, Complex Diseases. - Peter Schulam; Colin Ligon; Robert Wise; Laura K. Hummers; Fredrick Wigley; Suchi Saria (AMIA, 2015)

A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure. - Peter Schulam; Suchi Saria (NIPS, 2015)

Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking. - Andy Jinhua Ma; Pong C. Yuen; Suchi Saria (CoRR, 2015)

Subtyping: What It is and Its Role in Precision Medicine. - Suchi Saria; Anna Goldenberg (IEEE Intell. Syst., 2015)

Advanced Machine Learning for Healthcare. - Jimeng Sun 001; Jim Rehg; Suchi Saria; Hua Xu; Eric P. Xing (CRI, 2016)

Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models. - Daniel P. Robinson; Suchi Saria (IJCAI, 2016)

Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor. - Austin Reiter; Andy J. Ma; Nishi Rawat; Christine Shrock; Suchi Saria (MICCAI (1), 2016)

A Non-parametric Bayesian Approach for Estimating Treatment-Response Curves from Sparse Time Series. - Yanbo Xu; Yanxun Xu; Suchi Saria (MLHC, 2016)

A Bayesian Nonparametic Approach for Estimating Individualized Treatment-Response Curves. - Yanbo Xu; Yanxun Xu; Suchi Saria (CoRR, 2016)

High Frequency Remote Monitoring of Parkinson's Disease via Smartphone: Platform Overview and Medication Response Detection. - Andong Zhan; Max A. Little; Denzil A. Harris; Solomon O. Abiola; Earl Ray Dorsey; Suchi Saria; Andreas Terzis (CoRR, 2016)

AI's 10 to Watch. - Haris Aziz 001; Elias Bareinboim; Yejin Choi 001; Daniel J. Hsu; Shivaram Kalyanakrishnan; Reshef Meir; Suchi Saria; Gerardo I. Simari; Lirong Xia; William Yeoh 001 (IEEE Intell. Syst., 2016)

Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses. - Peter Schulam; Suchi Saria (J. Mach. Learn. Res., 2016)

Learning (predictive) risk scores in the presence of censoring due to interventions. - Kirill Dyagilev; Suchi Saria (Mach. Learn., 2016)

Reliable Decision Support using Counterfactual Models. - Peter Schulam; Suchi Saria (NIPS, 2017)

Learning Treatment-Response Models from Multivariate Longitudinal Data. - Hossein Soleimani; Adarsh Subbaswamy; Suchi Saria (UAI, 2017)

What-If Reasoning with Counterfactual Gaussian Processes. - Peter Schulam; Suchi Saria (CoRR, 2017)

Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions. - Hossein Soleimani; Adarsh Subbaswamy; Suchi Saria (CoRR, 2017)

Counterfactual Normalization: Proactively Addressing Dataset Shift Using Causal Mechanisms. - Adarsh Subbaswamy; Suchi Saria (UAI, 2018)

Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms. - Adarsh Subbaswamy; Suchi Saria (CoRR, 2018)

Discretizing Logged Interaction Data Biases Learning for Decision-Making. - Peter Schulam; Suchi Saria (CoRR, 2018)

Learning Predictive Models That Transport. - Adarsh Subbaswamy; Peter Schulam; Suchi Saria (CoRR, 2018)

Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction. - Hossein Soleimani; James Hensman; Suchi Saria (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Can You Trust This Prediction? Auditing Pointwise Reliability After Learning. - Peter Schulam; Suchi Saria (AISTATS, 2019)

Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport. - Adarsh Subbaswamy; Peter Schulam; Suchi Saria (AISTATS, 2019)

Learning Models from Data with Measurement Error: Tackling Underreporting. - Roy Adams; Yuelong Ji; Xiaobin Wang; Suchi Saria (ICML, 2019)

Active Learning for Decision-Making from Imbalanced Observational Data. - Iiris Sundin; Peter Schulam; Eero Siivola; Aki Vehtari; Suchi Saria; Samuel Kaski (ICML, 2019)

Auditing Pointwise Reliability Subsequent to Training. - Peter Schulam; Suchi Saria (CoRR, 2019)

Artificial Intelligence for Social Good. - Gregory D. Hager; Ann W. Drobnis; Fei Fang 001; Rayid Ghani; Amy Greenwald; Terah Lyons; David C. Parkes; Jason Schultz; Suchi Saria; Stephen F. Smith; Milind Tambe (CoRR, 2019)

Tutorial: Safe and Reliable Machine Learning. - Suchi Saria; Adarsh Subbaswamy (CoRR, 2019)

The Hierarchy of Stable Distributions and Operators to Trade Off Stability and Performance. - Adarsh Subbaswamy; Bryant Chen; Suchi Saria (CoRR, 2019)

I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models. - Adarsh Subbaswamy; Suchi Saria (CoRR, 2020)

Evaluating Model Robustness to Dataset Shift. - Adarsh Subbaswamy; Roy Adams; Suchi Saria (CoRR, 2020)

Evaluating Model Robustness and Stability to Dataset Shift. - Adarsh Subbaswamy; Roy Adams; Suchi Saria (AISTATS, 2021)

Making Health AI Work in the Real World: Strategies, innovations, and best practices for using AI to improve care delivery. - Suchi Saria; Marzyeh Ghassemi; Ziad Obermeyer; Karandeep Singh; Pei-Yun S. Hsueh; Eric J. Topol (AMIA, 2021)

Partial Identifiability in Discrete Data with Measurement Error. - Noam Finkelstein; Roy Adams; Suchi Saria; Ilya Shpitser (UAI, 2021)

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health. - 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; et al. (CoRR, 2021)

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs. - Lauren M. Sanders; Jason H. Yang; Ryan T. Scott; Amina Ann Qutub; Héctor García Martín; Daniel C. Berrios; Jaden J. A. Hastings; Jon Rask; Graham Mackintosh; Adrienne L. Hoarfrost; Stuart J. Chalk; John Kalantari; et al. (CoRR, 2021)

JAWS: Auditing Predictive Uncertainty Under Covariate Shift. - Drew Prinster; Anqi Liu; Suchi Saria (NeurIPS, 2022)

JAWS: Predictive Inference Under Covariate Shift. - Drew Prinster; Anqi Liu; Suchi Saria (CoRR, 2022)

A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models. - H. Echo Wang; Matthew Landers; Roy Adams; Adarsh Subbaswamy; Hadi Kharrazi; Darrell J. Gaskin; Suchi Saria (J. Am. Medical Informatics Assoc., 2022)

Human-machine teaming is key to AI adoption: clinicians' experiences with a deployed machine learning system. - Katharine Henry; Rachel Kornfield; Anirudh Sridharan; Robert C. Linton; Catherine Groh; Tony Wang; Albert Wu; Bilge Mutlu; Suchi Saria (npj Digit. Medicine, 2022)

Efficient Approximate Predictive Inference Under Feedback Covariate Shift with Influence Functions. - Drew Prinster; Suchi Saria; Anqi Liu (COPA, 2023)

JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift. - Drew Prinster; Suchi Saria; Anqi Liu (ICML, 2023)

Causal-structure Driven Augmentations for Text OOD Generalization. - Amir Feder; Yoav Wald; Claudia Shi; Suchi Saria; David M. Blei (NeurIPS, 2023)

Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection. - Yoav Wald; Suchi Saria (UAI, 2023)

Biological research and self-driving labs in deep space supported by artificial intelligence. - Lauren M. Sanders; Ryan T. Scott; Jason H. Yang; Amina Ann Qutub; Héctor García Martín; Daniel C. Berrios; Jaden J. A. Hastings; Jon Rask; Graham Mackintosh; Adrienne L. Hoarfrost; Stuart J. Chalk; John Kalantari; et al. (Nat. Mac. Intell., 2023)

Biomonitoring and precision health in deep space supported by artificial intelligence. - Ryan T. Scott; Lauren M. Sanders; Erik L. Antonsen; 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; et al. (Nat. Mac. Intell., 2023)

Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them). - Drew Prinster; Samuel Don Stanton; Anqi Liu; Suchi Saria (ICML, 2024)

FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion. - Xing Han; Huy Nguyen; Carl Harris; Nhat Ho; Suchi Saria (NeurIPS, 2024)

On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions. - Huy Nguyen; Xing Han; Carl Harris; Suchi Saria; Nhat Ho (CoRR, 2024)

Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models. - H. Echo Wang; Jonathan P. Weiner; Suchi Saria; Harold P. Lehmann; Hadi Kharrazi (J. Biomed. Informatics, 2024)

A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform. - Adarsh Subbaswamy; Berkman Sahiner; Nicholas Petrick; Vinay Pai; Roy Adams; Matthew C. Diamond; Suchi Saria (npj Digit. Medicine, 2024)

Toward an artificial intelligence code of conduct for health and healthcare: implications for the biomedical informatics community. - Philip R. O. Payne; Kevin B. Johnson; Thomas M. Maddox; Peter J. Embí; Kenneth D. Mandl; Deven McGraw; Suchi Saria; Laura Adams (J. Am. Medical Informatics Assoc., 2025)

Lessons from Henrietta Lacks inform a transparency framework to catalyze generative artificial intelligence in medicine. - Tej D. Azad; Anmol Warman; Deven McGraw; Suchi Saria (npj Digit. Medicine, 2025)

Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning. - Hsing-Huan Chung; Shravan Chaudhari; Xing Han; Yoav Wald; Suchi Saria; Joydeep Ghosh (Trans. Mach. Learn. Res., 2025)

WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales. - Drew Prinster; Xing Han; Anqi Liu; Suchi Saria (CoRR, 2025)

Improving Coverage in Combined Prediction Sets with Weighted p-values. - Gina Wong; Drew Prinster; Suchi Saria; Rama Chellappa; Anqi Liu (CoRR, 2025)