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34 Results
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Workshop
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Sat 6:00 |
Richard (Fangjian) Guo. Boosting Variational Inference. Fangjian Guo |
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Poster
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Mon 9:00 |
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu · Dilin Wang |
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Tutorial
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Sun 23:30 |
Variational Inference: Foundations and Modern Methods David Blei · Shakir Mohamed · Rajesh Ranganath |
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Poster
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Tue 9:00 |
Variational Bayes on Monte Carlo Steroids Aditya Grover · Stefano Ermon |
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Poster
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Wed 9:00 |
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Yarin Gal · Zoubin Ghahramani |
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Poster
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Tue 9:00 |
The Generalized Reparameterization Gradient Francisco Ruiz · Michalis Titsias · David Blei |
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Poster
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Wed 9:00 |
Rényi Divergence Variational Inference Yingzhen Li · Richard Turner |
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Poster
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Wed 9:00 |
Operator Variational Inference Rajesh Ranganath · Dustin Tran · Jaan Altosaar · David Blei |
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Poster
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Tue 9:00 |
Variational Information Maximization for Feature Selection Shuyang Gao · Greg Ver Steeg · Aram Galstyan |
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Poster
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Wed 9:00 |
Variational Inference in Mixed Probabilistic Submodular Models Josip Djolonga · Sebastian Tschiatschek · Andreas Krause |
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Poster
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Tue 9:00 |
Cooperative Graphical Models Josip Djolonga · Stefanie Jegelka · Sebastian Tschiatschek · Andreas Krause |
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Poster
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Tue 9:00 |
Constraints Based Convex Belief Propagation Yaniv Tenzer · Alex Schwing · Kevin Gimpel · Tamir Hazan |