Suchi Saria
19 papers · 2011–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Conference Polyglot (7)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(7)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(87)
π
Conference Pioneer
π
Century Club
(19)
π₯
Unstoppable
(5)
π
Trend Setter
β
The Questioner
Conferences
ICML (5)
NIPS (5)
AISTATS (4)
UAI (2)
IJCAI (1)
JMLR (1)
MLHC (1)
Top co-authors
Keywords
causal inference
(4)
uncertainty quantification
(3)
distribution shift
(3)
active learning
(2)
gaussian process
(2)
dataset shift
(2)
measurement error
(2)
observational datum
(2)
disease trajectory
(2)
covariate shift
(2)
latent variable model
(2)
conformal prediction
(1)
text classification
(1)
model robustness
(1)
bayesian inference
(1)
bayesian nonparametrics
(1)
convex optimization
(1)
ensemble learning
(1)
representation learning
(1)
clinical prediction
(1)
Papers
WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales
ICML 2025
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
NIPS 2024
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)
ICML 2024
Data Augmentations for Improved (Large) Language Model Generalization
NIPS 2023
Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection
UAI 2023
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
ICML 2023
JAWS: Auditing Predictive Uncertainty Under Covariate Shift
NIPS 2022
Evaluating Model Robustness and Stability to Dataset Shift
AISTATS 2021
Partial Identifiability in Discrete Data with Measurement Error
UAI 2021
Learning Models from Data with Measurement Error: Tackling Underreporting
ICML 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning
AISTATS 2019
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport
AISTATS 2019
Active Learning for Decision-Making from Imbalanced Observational Data
ICML 2019
Reliable Decision Support using Counterfactual Models
NIPS 2017
Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models
IJCAI 2016
Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses
JMLR 2016
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves
MLHC 2016
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
NIPS 2015
Convex envelopes of complexity controlling penalties: the case against premature envelopment
AISTATS 2011