Co-occurring keywords · papers mentioning both
Papers
Testing the Trust: Verification and Validation of Bayesian Segmentation under Uncertainty
MIDL 2026
Identifying Drivers of Predictive Aleatoric Uncertainty
IJCAI 2025
Theoretical Limitations of Ensembles in the Age of Overparameterization
ICML 2025
Advanced Speaker Embedding with Predictive Variance of Gaussian Distribution for Speaker Adaptation in TTS
Interspeech 2022
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel
NeurIPS 2022
Parametric Gaussian Process Regressors
ICML 2020
Patchwork Kriging for Large-scale Gaussian Process Regression
JMLR 2018
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
NeurIPS 2018
Prediction Performance After Learning in Gaussian Process Regression
AISTATS 2017