Suchi Saria - RankMe

84 papers A* 12A 9Misc 5Journal 50Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Conformal Policy Control. CoRR Drew Prinster, Clara Fannjiang, Ji Won Park, Kyunghyun Cho, Anqi Liu, Suchi Saria, Samuel Stanton
2025	J	`jnl`	Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning. CoRR Hsing-Huan Chung, Shravan Chaudhari, Xing Han, Yoav Wald, Suchi Saria, Joydeep Ghosh
2025	J	`jnl`	Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning. Trans. Mach. Learn. Res. Hsing-Huan Chung, Shravan Chaudhari, Xing Han, Yoav Wald, Suchi Saria, Joydeep Ghosh
2025	J	`jnl`	Guiding Mixture-of-Experts with Temporal Multimodal Interactions. CoRR Xing Han, Hsing-Huan Chung, Joydeep Ghosh, Paul Pu Liang, Suchi Saria
2025	J	`jnl`	Improving Coverage in Combined Prediction Sets with Weighted p-values. CoRR Gina Wong, Drew Prinster, Suchi Saria, Rama Chellappa, Anqi Liu
2025	J	`jnl`	Lessons from Henrietta Lacks inform a transparency framework to catalyze generative artificial intelligence in medicine. npj Digit. Medicine Tej D. Azad, Anmol Warman, Deven McGraw, Suchi Saria
2025	J	`jnl`	Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution. CoRR Shravan Chaudhari, Yoav Wald, Suchi Saria
2025	J	`jnl`	Toward an artificial intelligence code of conduct for health and healthcare: implications for the biomedical informatics community. J. Am. Medical Informatics Assoc. Philip R. O. Payne, Kevin B. Johnson, Thomas M. Maddox, Peter J. Embí, Kenneth D. Mandl, Deven McGraw, Suchi Saria, Laura Adams
2025	A*	`conf`	WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales. ICML Drew Prinster, Xing Han, Anqi Liu, Suchi Saria
2025	J	`jnl`	WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales. CoRR Drew Prinster, Xing Han, Anqi Liu, Suchi Saria
2024	J	`jnl`	A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform. npj Digit. Medicine Adarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick, Vinay Pai, Roy Adams, Matthew C. Diamond, Suchi Saria
2024	J	`jnl`	Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models. J. Biomed. Informatics H. Echo Wang, Jonathan P. Weiner, Suchi Saria, Harold P. Lehmann, Hadi Kharrazi
2024	A*	`conf`	Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them). ICML Drew Prinster, Samuel Don Stanton, Anqi Liu, Suchi Saria
2024	J	`jnl`	Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them). CoRR Drew Prinster, Samuel Stanton, Anqi Liu, Suchi Saria
2024	A*	`conf`	FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion. NeurIPS Xing Han, Huy Nguyen, Carl Harris, Nhat Ho, Suchi Saria
2024	J	`jnl`	FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion. CoRR Xing Han, Huy Nguyen, Carl Harris, Nhat Ho, Suchi Saria
2024	J	`jnl`	On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions. CoRR Huy Nguyen, Xing Han, Carl Harris, Suchi Saria, Nhat Ho
2023	J	`jnl`	Biological research and self-driving labs in deep space supported by artificial intelligence. Nat. Mac. Intell. 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, 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 A. 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 A. 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, Michael Snyder, Frank Soboczenski, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes
2023	J	`jnl`	Biomonitoring and precision health in deep space supported by artificial intelligence. Nat. Mac. Intell. 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, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart J. Chalk, Guillermo M. Delgado-Aparicio, Melissa A. 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, Héctor García Martín, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr., Charlotte A. Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes
2023	A	`conf`	Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection. UAI Yoav Wald, Suchi Saria
2023	A*	`conf`	Causal-structure Driven Augmentations for Text OOD Generalization. NeurIPS Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei
2023	J	`jnl`	Causal-structure Driven Augmentations for Text OOD Generalization. CoRR Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei
2023	—	`conf`	Efficient Approximate Predictive Inference Under Feedback Covariate Shift with Influence Functions. COPA Drew Prinster, Suchi Saria, Anqi Liu
2023	A*	`conf`	JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift. ICML Drew Prinster, Suchi Saria, Anqi Liu
2022	J	`jnl`	A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models. J. Am. Medical Informatics Assoc. H. Echo Wang, Matthew Landers, Roy Adams, Adarsh Subbaswamy, Hadi Kharrazi, Darrell J. Gaskin, Suchi Saria
2022	J	`jnl`	Human-machine teaming is key to AI adoption: clinicians' experiences with a deployed machine learning system. npj Digit. Medicine Katharine Henry, Rachel Kornfield, Anirudh Sridharan, Robert C. Linton, Catherine Groh, Tony Wang, Albert Wu, Bilge Mutlu, Suchi Saria
2022	A*	`conf`	JAWS: Auditing Predictive Uncertainty Under Covariate Shift. NeurIPS Drew Prinster, Anqi Liu, Suchi Saria
2022	J	`jnl`	JAWS: Predictive Inference Under Covariate Shift. CoRR Drew Prinster, Anqi Liu, Suchi Saria
2021	J	`jnl`	Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs. CoRR 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, 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 A. 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 A. 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
2021	J	`jnl`	Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health. CoRR 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 J. Chalk, Guillermo M. Delgado-Aparicio, Melissa A. 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, Héctor García Martín, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers Jr., Charlotte A. 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
2021	A	`conf`	Evaluating Model Robustness and Stability to Dataset Shift. AISTATS Adarsh Subbaswamy, Roy Adams, Suchi Saria
2021	Misc	`conf`	Making Health AI Work in the Real World: Strategies, innovations, and best practices for using AI to improve care delivery. AMIA Suchi Saria, Marzyeh Ghassemi, Ziad Obermeyer, Karandeep Singh, Pei-Yun S. Hsueh, Eric J. Topol
2021	A	`conf`	Partial Identifiability in Discrete Data with Measurement Error. UAI Noam Finkelstein, Roy Adams, Suchi Saria, Ilya Shpitser
2020	J	`jnl`	Evaluating Model Robustness to Dataset Shift. CoRR Adarsh Subbaswamy, Roy Adams, Suchi Saria
2020	J	`jnl`	I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models. CoRR Adarsh Subbaswamy, Suchi Saria
2020	J	`jnl`	Partial Identifiability in Discrete Data With Measurement Error. CoRR Noam Finkelstein, Roy Adams, Suchi Saria, Ilya Shpitser
2019	A*	`conf`	Active Learning for Decision-Making from Imbalanced Observational Data. ICML Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski
2019	J	`jnl`	Active Learning for Decision-Making from Imbalanced Observational Data. CoRR Iiris Sundin, Peter Schulam, Eero Siivola, Aki Vehtari, Suchi Saria, Samuel Kaski
2019	J	`jnl`	Artificial Intelligence for Social Good. CoRR Gregory D. Hager, Ann W. Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, Milind Tambe
2019	J	`jnl`	Auditing Pointwise Reliability Subsequent to Training. CoRR Peter Schulam, Suchi Saria
2019	A	`conf`	Can You Trust This Prediction? Auditing Pointwise Reliability After Learning. AISTATS Peter Schulam, Suchi Saria
2019	A*	`conf`	Learning Models from Data with Measurement Error: Tackling Underreporting. ICML Roy Adams, Yuelong Ji, Xiaobin Wang, Suchi Saria
2019	J	`jnl`	Learning Models from Data with Measurement Error: Tackling Underreporting. CoRR Roy Adams, Yuelong Ji, Xiaobin Wang, Suchi Saria
2019	A	`conf`	Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport. AISTATS Adarsh Subbaswamy, Peter Schulam, Suchi Saria
2019	J	`jnl`	The Hierarchy of Stable Distributions and Operators to Trade Off Stability and Performance. CoRR Adarsh Subbaswamy, Bryant Chen, Suchi Saria
2019	J	`jnl`	Tutorial: Safe and Reliable Machine Learning. CoRR Suchi Saria, Adarsh Subbaswamy
2018	A	`conf`	Counterfactual Normalization: Proactively Addressing Dataset Shift Using Causal Mechanisms. UAI Adarsh Subbaswamy, Suchi Saria
2018	J	`jnl`	Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms. CoRR Adarsh Subbaswamy, Suchi Saria
2018	J	`jnl`	Discretizing Logged Interaction Data Biases Learning for Decision-Making. CoRR Peter Schulam, Suchi Saria
2018	J	`jnl`	Learning Predictive Models That Transport. CoRR Adarsh Subbaswamy, Peter Schulam, Suchi Saria
2018	J	`jnl`	Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Hossein Soleimani, James Hensman, Suchi Saria
2017	A	`conf`	Learning Treatment-Response Models from Multivariate Longitudinal Data. UAI Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria
2017	—	`conf`	Reliable Decision Support using Counterfactual Models. NIPS Peter Schulam, Suchi Saria
2017	J	`jnl`	Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction. CoRR Hossein Soleimani, James Hensman, Suchi Saria
2017	J	`jnl`	Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions. CoRR Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria
2017	J	`jnl`	What-If Reasoning with Counterfactual Gaussian Processes. CoRR Peter Schulam, Suchi Saria
2016	J	`jnl`	A Bayesian Nonparametic Approach for Estimating Individualized Treatment-Response Curves. CoRR Yanbo Xu, Yanxun Xu, Suchi Saria
2016	—	`conf`	A Non-parametric Bayesian Approach for Estimating Treatment-Response Curves from Sparse Time Series. MLHC Yanbo Xu, Yanxun Xu, Suchi Saria
2016	J	`jnl`	AI's 10 to Watch. IEEE Intell. Syst. Haris Aziz, Elias Bareinboim, Yejin Choi, Daniel J. Hsu, Shivaram Kalyanakrishnan, Reshef Meir, Suchi Saria, Gerardo I. Simari, Lirong Xia, William Yeoh
2016	—	`conf`	Advanced Machine Learning for Healthcare. CRI Jimeng Sun, Jim Rehg, Suchi Saria, Hua Xu, Eric P. Xing
2016	J	`jnl`	High Frequency Remote Monitoring of Parkinson's Disease via Smartphone: Platform Overview and Medication Response Detection. CoRR Andong Zhan, Max A. Little, Denzil A. Harris, Solomon O. Abiola, Earl Ray Dorsey, Suchi Saria, Andreas Terzis
2016	J	`jnl`	Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses. J. Mach. Learn. Res. Peter Schulam, Suchi Saria
2016	J	`jnl`	Learning (predictive) risk scores in the presence of censoring due to interventions. Mach. Learn. Kirill Dyagilev, Suchi Saria
2016	—	`conf`	Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor. MICCAI (1) Austin Reiter, Andy J. Ma, Nishi Rawat, Christine Shrock, Suchi Saria
2016	A*	`conf`	Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models. IJCAI Daniel P. Robinson, Suchi Saria
2016	J	`jnl`	Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models. CoRR Daniel P. Robinson, Suchi Saria
2015	—	`conf`	A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure. NIPS Peter Schulam, Suchi Saria
2015	Misc	`conf`	A Probabilistic Graphical Model for Individualizing Prognosis in Chronic, Complex Diseases. AMIA Peter Schulam, Colin Ligon, Robert Wise, Laura K. Hummers, Fredrick Wigley, Suchi Saria
2015	A*	`conf`	Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery. AAAI Peter Schulam, Fredrick Wigley, Suchi Saria
2015	J	`jnl`	Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking. CoRR Andy Jinhua Ma, Pong C. Yuen, Suchi Saria
2015	J	`jnl`	Learning (Predictive) Risk Scores in the Presence of Censoring due to Interventions. CoRR Kirill Dyagilev, Suchi Saria
2015	Misc	`conf`	Learning a Severity Score for Sepsis: A Novel Approach based on Clinical Comparisons. AMIA Kirill Dyagilev, Suchi Saria
2015	J	`jnl`	Subtyping: What It is and Its Role in Precision Medicine. IEEE Intell. Syst. Suchi Saria, Anna Goldenberg
2014	J	`jnl`	A $3 Trillion Challenge to Computational Scientists: Transforming Healthcare Delivery. IEEE Intell. Syst. Suchi Saria
2014	Misc	`conf`	Predictive Analytics in Healthcare (HPA): Considerations and Challenges. AMIA Suchi Saria, Gabriel J. Escobar, Paul C. Tang, Lucila Ohno-Machado, Alex Dummett
2013	Misc	`conf`	Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls. AMIA Chris Paxton, Suchi Saria, Alexandru Niculescu-Mizil
2012	J	`jnl`	Reasoning at the Right Time Granularity CoRR Suchi Saria, Uri Nodelman, Daphne Koller
2011	A	`conf`	Convex envelopes of complexity controlling penalties: the case against premature envelopment. AISTATS Vladimir Jojic, Suchi Saria, Daphne Koller
2011	A*	`conf`	Discovering Deformable Motifs in Continuous Time Series Data. IJCAI Suchi Saria, Andrew Duchi, Daphne Koller
2011	—	`—`	The digital patient: machine learning techniques for analyzing electronic health record data. Suchi Saria
2010	J	`jnl`	Discovering shared and individual latent structure in multiple time series CoRR Suchi Saria, Daphne Koller, Anna Penn
2007	A	`conf`	Reasoning at the Right Time Granularity. UAI Suchi Saria, Uri Nodelman, Daphne Koller
2004	—	`conf`	Microsoft Cambridge at TREC 13: Web and Hard Tracks. TREC Hugo Zaragoza, Nick Craswell, Michael J. Taylor, Suchi Saria, Stephen E. Robertson
2004	A*	`conf`	Probabilistic Plan Recognition in Multiagent Systems. ICAPS Suchi Saria, Sridhar Mahadevan