uncertainty quantification

Uncertainty Quantification of Click and Conversion Estimates for the Autobidding UAI 2026 Unleashing the Power of Chain-of-Prediction for Monocular 3D Object Detection CVPR 2026 Upper entropy for 2-monotone lower probabilities UAI 2026 UQLM: A Python Package for Uncertainty Quantification in Large Language Models JMLR 2026 Valid and Efficient Uncertainty Quantification for Federated Joint Shift UAI 2026 VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees UAI 2026 WarpRF: Multi-View Consistency for Training-Free Uncertainty Quantification and Applications in Radiance Fields WACV 2026 Wearable Intelligence for Healthcare Robotics: From Brain Activity to Body Movements AAAI 2026 Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract) AAAI 2026 A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs NAACL 2025 Accessible, At-Home Detection of Parkinson’s Disease via Multi-Task Video Analysis AAAI 2025 A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates ACL 2025 ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions IJCAI 2025 Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts ICCV 2025 Adaptive Elicitation of Latent Information Using Natural Language ICML 2025 Adaptive Shrinkage Estimation for Personalized Deep Kernel Regression in Modeling Brain Trajectories ICLR 2025 AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting ICML 2025 Addressing Variability in Interlinear Glossed Texts with Linguistic Linked Data ACL 2025 A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations ICLR 2025 A Generic Framework for Conformal Fairness ICLR 2025 Agreement Volatility: A Second-Order Metric for Uncertainty Quantification in Surgical Robot Learning CoRL 2025 A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs EMNLP 2025 AI-Assisted Triage and Decision Support of Head and Neck Cancer Screening and Diagnosis in Low-Resourced Settings IJCAI 2025 Algorithms with Calibrated Machine Learning Predictions ICML 2025 Ambiguity Detection and Uncertainty Calibration for Question Answering with Large Language Models NAACL 2025