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Latent point process allocation

Abstract:

We introduce a probabilistic model for the factorisation of continuous Poisson process rate functions. Our model can be thought of as a topic model for Poisson point processes in which each point is assigned to one of a set of latent rate functions that are shared across multiple outputs. We show that the model brings a means of incorporating structure in point process inference beyond the state-of-the-art. We derive an efficient variational inference scheme for the model based on sparse Gaus...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Department:
Oxford, MPLS, Engineering Science
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Department:
Oxford, MPLS, Engineering Science
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Department:
Oxford, MPLS, Engineering Science
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Department:
Exeter College
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Department:
Oxford, MPLS, Engineering Science
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Funding agency for:
Gunter, T
Publisher:
Journal of Machine Learning Research Publisher's website
Volume:
41
Pages:
389-397
Publication date:
2016
Acceptance date:
2015-10-09
ISSN:
1938-7228
Pubs id:
pubs:664826
URN:
uri:bd7bb398-fbe7-41ee-92d3-79341f46afec
UUID:
uuid:bd7bb398-fbe7-41ee-92d3-79341f46afec
Local pid:
pubs:664826

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