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Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #164
Approximate Inference Turns Deep Networks into Gaussian Processes
Emtiyaz Khan · Alex Immer · Ehsan Abedi · Maciej Korzepa
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Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #165
Copula-like Variational Inference
Marcel Hirt · Petros Dellaportas · Alain Durmus
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Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #166
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
Justin Domke · Dan Sheldon
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Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #167
Importance Weighted Hierarchical Variational Inference
Artem Sobolev · Dmitry Vetrov
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Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #168
Practical Deep Learning with Bayesian Principles
Kazuki Osawa · Siddharth Swaroop · Emtiyaz Khan · Anirudh Jain · Runa Eschenhagen · Richard Turner · Rio Yokota
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Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #169
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
Dominik Linzner · Michael Schmidt · Heinz Koeppl
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Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #170
Universal Boosting Variational Inference
Trevor Campbell · Xinglong Li
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Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #171
Variational Bayes under Model Misspecification
Yixin Wang · David Blei
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Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #172
Variational Bayesian Decision-making for Continuous Utilities
Tomasz KuĹ›mierczyk · Joseph Sakaya · Arto Klami
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Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #173
Variational Bayesian Optimal Experimental Design
Adam Foster · Martin Jankowiak · Eli Bingham · Paul Horsfall · Yee Whye Teh · Tom Rainforth · Noah Goodman
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