Uncertainty Quantification
805 papers
Papers per year
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Papers
BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning
CVPR 2026
Cheap Bootstrap for Fast Uncertainty Quantification of Stochastic Gradient Descent
JMLR 2026
Conformal Online Model Aggregation
UAI 2026
Conformal Prediction Sets for Instance Segmentation
UAI 2026
Conformal Risk Minimization with Variance Reduction
UAI 2026
Diagnosing Conformal Prediction Failures Under Distribution Shift: A COVID-19 Case Study
UAI 2026
Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling
JMLR 2026
Information-Theoretic Lower Bounds for Causal Inference under Credal Uncertainty
UAI 2026
MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events
ACL 2026
MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction
WACV 2026
MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation
WACV 2026
Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation?
COLT 2026
Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions
UAI 2026
Predictive inference for time series: why is split conformal effective despite temporal dependence?
ALT 2026
PRISM: Probabilistic Reward Model with Inherent Structural Modeling
ACL 2026
Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
CVPR 2026
Quantifying and Understanding Uncertainty in Large Reasoning Models
ACL 2026
Reliable Conformal Prediction for Ordinal Classification Using the Ranked Probability Score
UAI 2026
Retrospective Counterfactual Prediction by Conditioning on the Factual Outcome: A Cross-World Approach
CLeaR 2026
Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction
L4DC 2026
Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
L4DC 2026
Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
L4DC 2026
Time-aware Motion Planning in Dynamic Environments with Conformal Prediction
L4DC 2026
Transfer Conformal Predictive Inference for Regression
JMLR 2026
Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts
WACV 2026