Suchi Saria
19 papers · 2011–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π§
Keyword Pioneer
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
β
The Questioner
ποΈ
Keyword Collector
(99)
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(11)
Core AI
(11)
Learning Types
(8)
Optimization & Theory
(8)
Application Areas
(7)
Core Methods
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Keywords
causal inference
(4)
active learning
(3)
distribution shift
(3)
uncertainty quantification
(3)
covariate shift
(2)
disease trajectory
(2)
conformal prediction
(2)
gaussian process
(2)
observational data
(2)
measurement error
(2)
dataset shift
(2)
latent variable model
(2)
text classification
(1)
bayesian inference
(1)
online learning
(1)
convex optimization
(1)
ensemble learning
(1)
bayesian nonparametrics
(1)
domain adaptation
(1)
clinical prediction
(1)
Papers
WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales
ICML 2025
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)
ICML 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
NeurIPS 2024
Birds of an odd feather: guaranteed out-of-distribution (OOD) novel category detection
UAI 2023
Data Augmentations for Improved (Large) Language Model Generalization
NeurIPS 2023
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
ICML 2023
JAWS: Auditing Predictive Uncertainty Under Covariate Shift
NeurIPS 2022
Evaluating Model Robustness and Stability to Dataset Shift
AISTATS 2021
Partial Identifiability in Discrete Data with Measurement Error
UAI 2021
Active Learning for Decision-Making from Imbalanced Observational Data
ICML 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning
AISTATS 2019
Learning Models from Data with Measurement Error: Tackling Underreporting
ICML 2019
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport
AISTATS 2019
Reliable Decision Support using Counterfactual Models
NeurIPS 2017
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves
MLHC 2016
Integrative Analysis using Coupled Latent Variable Models for Individualizing Prognoses
JMLR 2016
Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models
IJCAI 2016
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
NeurIPS 2015
Convex envelopes of complexity controlling penalties: the case against premature envelopment
AISTATS 2011