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Workshop
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Fri 14:35
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Invited talk: Variational Inference in Deep Gaussian Processes
Andreas Damianou
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Workshop
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Fri 11:45
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Contributed talk: Variational Inference based on Robust Divergences
Futoshi Futami
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Poster
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Tue 18:30
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Stein Variational Gradient Descent as Gradient Flow
Qiang Liu
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Workshop
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Sat 14:40
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Variational Bayes inference algorithm for causal multivariate mediation with linkage disequilibrium (Yongjin Park)
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Spotlight
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Wed 17:25
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Doubly Stochastic Variational Inference for Deep Gaussian Processes
Hugh Salimbeni · Marc Deisenroth
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Poster
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Tue 18:30
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Variational Inference for Gaussian Process Models with Linear Complexity
Ching-An Cheng · Byron Boots
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Poster
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Tue 18:30
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What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall · Yarin Gal
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Poster
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Wed 18:30
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Concrete Dropout
Yarin Gal · Jiri Hron · Alex Kendall
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Poster
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Tue 18:30
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Differentiable Learning of Submodular Functions
Josip Djolonga · Andreas Krause
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Poster
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Wed 18:30
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Doubly Stochastic Variational Inference for Deep Gaussian Processes
Hugh Salimbeni · Marc Deisenroth
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Poster
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Tue 18:30
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Robust Conditional Probabilities
Yoav Wald · Amir Globerson
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Poster
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Wed 18:30
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Perturbative Black Box Variational Inference
Robert Bamler · Cheng Zhang · Manfred Opper · Stephan Mandt
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