Output details
11 - Computer Science and Informatics
Aston University
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Output 0 of 0 in the submission
Output title
Gaussian process quantile regression using expectation propagation
Type
E - Conference contribution
DOI
-
Name of conference/published proceedings
29th International Conference on Machine Learning
Volume number
-
Issue number
-
First page of article
N/A
ISSN of proceedings
-
Year of publication
2012
Number of additional authors
2
Additional information
<25> This paper developed a Gaussian process model with inference performed using expectation propagation. Conference acceptance rate was 27%. Code is available at http://wiki.aston.ac.uk/AlexisBoukouvalas (downloaded 82 times as of 25/9/2013).
The method has been included in the GPstuff library of Vanhatalo et al for Bayesian modeling with Gaussian processes (arXiv:1206.5754). The library has been downloaded 467 times (25/9/2013).
Co-author Dan Cornford was invited to present this at the workshop "‘Uncertainty Quantification & Management in Aircraft Design’" at the Advanced Simulation Research Centre, Bristol.
Interdisciplinary
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Cross-referral requested
-
Research group
A - Nonlinearity and Complexity Research Group
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
