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Posts tagged #likelihoods

TMLR Published Papers

@tmlr-pub.bsky.social

5 months ago

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models...

David Chen, Xinwei Li, Eui-Jin Kim, Prateek Bansal, David J Nott

Action editor: Cedric Archambeau

https://openreview.net/forum?id=hQjwDqfSzj

#likelihoods #likelihood #sampling

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TMLR Published Papers

@tmlr-pub.bsky.social

1 year ago

Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution...

Sam Dauncey, Christopher C. Holmes, Christopher Williams, Fabian Falck

Action editor: Daniel Roy

https://openreview.net/forum?id=EcuwtinFs9

#generative #autoencoders #likelihoods

2 1 0 0