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Sharp Calibrated Gaussian Processes

Sharp Calibrated Gaussian Processes

23 February 2023
A. Capone
Geoff Pleiss
Sandra Hirche
    UQCV
ArXivPDFHTML

Papers citing "Sharp Calibrated Gaussian Processes"

6 / 6 papers shown
Title
Spectral Representations for Accurate Causal Uncertainty Quantification
  with Gaussian Processes
Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes
Hugh Dance
Peter Orbanz
Arthur Gretton
CML
16
1
0
18 Oct 2024
A Decision-driven Methodology for Designing Uncertainty-aware AI
  Self-Assessment
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment
Charles Oredola
Vladimir Leung
Adnan Ashraf
Eric Heim
I-Jeng Wang
25
1
0
02 Aug 2024
Multi-fidelity Gaussian process surrogate modeling for regression
  problems in physics
Multi-fidelity Gaussian process surrogate modeling for regression problems in physics
Kislaya Ravi
Vladyslav Fediukov
Felix Dietrich
T. Neckel
Fabian Buse
Michael Bergmann
H. Bungartz
AI4CE
21
6
0
18 Apr 2024
Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and
  Epistemic Uncertainty
Wiener Chaos in Kernel Regression: Towards Untangling Aleatoric and Epistemic Uncertainty
T. Faulwasser
O. Molodchyk
12
1
0
12 Dec 2023
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Bayesian Model Selection, the Marginal Likelihood, and Generalization
Sanae Lotfi
Pavel Izmailov
Gregory W. Benton
Micah Goldblum
A. Wilson
UQCV
BDL
45
55
0
23 Feb 2022
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
268
5,635
0
05 Dec 2016
1