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Uncertainty Quantification

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Showing 1101–1125 of 2366 papers

TitleStatusHype
Judging LLMs on a Simplex—0
Conformal Uncertainty Quantification of Electricity Price Predictions for Risk-Averse Storage Arbitrage—0
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection—0
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks—0
Improving Label Error Detection and Elimination with Uncertainty Quantification—0
Improving mathematical questioning in teacher training—0
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows—0
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty—0
Improving Random Forests by Smoothing—0
Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models—0
CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition—0
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings—0
BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning—0
kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection—0
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games—0
Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming—0
Incorporating uncertainty quantification into travel mode choice modeling: a Bayesian neural network (BNN) approach and an uncertainty-guided active survey framework—0
Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures—0
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification—0
A machine learning approach for efficient uncertainty quantification using multiscale methods—0
Inference for Large Scale Regression Models with Dependent Errors—0
Tackling small eigen-gaps: Fine-grained eigenvector estimation and inference under heteroscedastic noise—0
Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model—0
Combinatorial Inference on the Optimal Assortment in Multinomial Logit Models—0
Joint space-time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning—0
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