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Uncertainty Quantification For Low-Rank Matrix Completion With
  Heterogeneous and Sub-Exponential Noise

Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise

22 October 2021
Matej Zevcević
Andrew A. Li
Kristian Kersting
ArXivPDFHTML

Papers citing "Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise"

2 / 2 papers shown
Title
Parameterizations for Gradient-based Markov Chain Monte Carlo on the
  Stiefel Manifold: A Comparative Study
Parameterizations for Gradient-based Markov Chain Monte Carlo on the Stiefel Manifold: A Comparative Study
Masahiro Tanaka
29
1
0
12 Feb 2024
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
1