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A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative
  Models
v1v2 (latest)

A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models

International Conference on Machine Learning (ICML), 2023
9 October 2023
Sebastian G. Gruber
Florian Buettner
    UQCVUD
ArXiv (abs)PDFHTML

Papers citing "A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models"

2 / 2 papers shown
Title
Fine-Grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
Fine-Grained Uncertainty Decomposition in Large Language Models: A Spectral ApproachIEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2025
Nassim Walha
Sebastian G. Gruber
Thomas Decker
Yinchong Yang
Alireza Javanmardi
Eyke Hüllermeier
Florian Buettner
UQCVUDPER
411
0
0
26 Sep 2025
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models
Haoyi Song
Ruihan Ji
Naichen Shi
Fan Lai
Raed Al Kontar
262
1
0
11 Jun 2025
1