[IDA ML Seminar] IDA ML Seminar: Heiko Zimmermann, AMLab, UvA - May 4, 15:15

[Fredrik Lindsten]

Welcome to an on-site IDA Machine Learning Seminar on May 4, 15:15-16:15

Heiko Zimmermann, Amsterdam Machine Learning Lab (AMLab), University of Amsterdam
https://heikozimmermann.com/

Learning Proposals for Probabilistic Programs with Inference Combinators
Abstract: We develop operators for construction of proposals in probabilistic programs, which we refer to as inference combinators. Inference combinators define a grammar over importance samplers that compose primitive operations such as application of a transition kernel and importance resampling. Proposals in these samplers can be parameterized using neural networks, which in turn can be trained by optimizing variational objectives. The result is a framework for user-programmable variational methods that are correct by construction and can be tailored to specific models. We demonstrate the flexibility of this framework by implementing advanced variational methods based on amortized Gibbs sampling and annealing.

Paper: https://arxiv.org/pdf/2103.00668.pdf

Location: Alan Turing, House E, https://www.ida.liu.se/department/location/search.en.shtml?keyword=alan


Welcome!
IDA Machine Learning Group
Linköping University

PS. I can also take the opportunity to remind everyone about the seminar this Wednesday 2/4 at 15:15 by Çağatay Yıldız. This seminar will be over Zoom, https://liu-se.zoom.us/j/69011766298


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