Bayesian quadrature for Gaussian process kernel learning, neural ensemble search, and high dimensional integrands
<p>The central challenge of performing inference in a model is the computation of marginalisation integrals over the model's parameters. In most cases of interest, these integrals are intractable, and evaluation of the integrand is expensive. A probabilistic approach to numerical integrat...
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Format: | Thesis |
Language: | English |
Published: |
2023
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