Saria, Suchi

26 publications

TMLR 2025 Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning Hsing-Huan Chung, Shravan S Chaudhari, Xing Han, Yoav Wald, Suchi Saria, Joydeep Ghosh

ICML 2025 WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales Drew Prinster, Xing Han, Anqi Liu, Suchi Saria

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

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

UAI 2023 Birds of an Odd Feather: Guaranteed Out-of-Distribution (OOD) Novel Category Detection Yoav Wald, Suchi Saria

NeurIPS 2023 Data Augmentations for Improved (Large) Language Model Generalization Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei

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

NeurIPS 2022 JAWS: Auditing Predictive Uncertainty Under Covariate Shift Drew Prinster, Anqi Liu, Suchi Saria

AISTATS 2021 Evaluating Model Robustness and Stability to Dataset Shift Adarsh Subbaswamy, Roy Adams, Suchi Saria

UAI 2021 Partial Identifiability in Discrete Data with Measurement Error Noam Finkelstein, Roy Adams, Suchi Saria, Ilya Shpitser

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

AISTATS 2019 Can You Trust This Prediction? Auditing Pointwise Reliability After Learning Peter Schulam, Suchi Saria

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

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

UAI 2018 Counterfactual Normalization: Proactively Addressing Dataset Shift Using Causal Mechanisms Adarsh Subbaswamy, Suchi Saria

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

NeurIPS 2017 Reliable Decision Support Using Counterfactual Models Peter Schulam, Suchi Saria

MLHC 2016 A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves Yanbo Xu, Yanxun Xu, Suchi Saria

JMLR 2016 Integrative Analysis Using Coupled Latent Variable Models for Individualizing Prognoses Peter Schulam, Suchi Saria

MLJ 2016 Learning (predictive) Risk Scores in the Presence of Censoring Due to Interventions Kirill Dyagilev, Suchi Saria

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

NeurIPS 2015 A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure Peter Schulam, Suchi Saria

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

AISTATS 2011 Convex Envelopes of Complexity Controlling Penalties: The Case Against Premature Envelopment Vladimir Jojic, Suchi Saria, Daphne Koller

IJCAI 2011 Discovering Deformable Motifs in Continuous Time Series Data Suchi Saria, Andrew Duchi, Daphne Koller

UAI 2007 Reasoning at the Right Time Granularity Suchi Saria, Uri Nodelman, Daphne Koller