predictive uncertainty

Analytic Planning under Uncertainty with Moment Closure UAI 2026 Continuum Dropout for Neural Differential Equations AAAI 2026 Controlling Path Dependence in Gradient Ascent Unlearning through Forget-Set Ordering UAI 2026 Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift CVPR 2026 GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems AAAI 2026 MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation CVPR 2026 Robust Predictive Uncertainty and Double Descent in Contaminated Bayesian Random Features UAI 2026 Towards Calibrating Prompt Tuning of Vision- Language Models CVPR 2026 Towards Reliable Test-Time Adaptation: Style Invariance as a Correctness Likelihood WACV 2026 What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning ACL 2026 Computation-Aware Kalman Filtering and Smoothing AISTATS 2025 Conformalized Survival Analysis for General Right-Censored Data ICLR 2025 FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation MLHC 2025 Improving Uncertainty Estimation through Semantically Diverse Language Generation ICLR 2025 Label Calibration in Source Free Domain Adaptation WACV 2025 Max-Rank: Efficient Multiple Testing for Conformal Prediction AISTATS 2025 Measuring Label Ambiguity in Subjective Tasks using Predictive Uncertainty Estimation ACL 2025 On Information-Theoretic Measures of Predictive Uncertainty UAI 2025 Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection ICML 2025 Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes ICML 2025 Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation CVPR 2025 Syntax-Aware Retrieval Augmentation for Neural Symbolic Regression EMNLP 2025 Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes CoRL 2025 Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models? ACL 2025 Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework EMNLP 2024