Bayesian Inference of Log Determinants
The log-determinant of a kernel matrix appears in a variety of machine learning problems, ranging from determinantal point processes and generalized Markov random fields, through to the training of Gaussian processes. Exact calculation of this term is often intractable when the size of the kernel ma...
| Main Authors: | , , , , |
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| Format: | Conference item |
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Association for Uncertainty in Artificlla Intelligence
2017
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