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Workshop
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Multiple Moment Matching Inference: A Flexible Approximate Inference Algorithm
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Poster
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Thu 9:00
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On the difficulty of unbiased alpha divergence minimization
Tomas Geffner · Justin Domke
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Poster
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Thu 21:00
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Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations
Mateusz Wilinski · Andrey Lokhov
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Spotlight
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Thu 19:40
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Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations
Mateusz Wilinski · Andrey Lokhov
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Spotlight
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Thu 7:45
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On the difficulty of unbiased alpha divergence minimization
Tomas Geffner · Justin Domke
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Affinity Workshop
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Wed 7:00
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Invited Talk #1 - Evaluating approximate inference for BNNs
Yingzhen Li
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Spotlight
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Thu 5:25
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Generalized Doubly Reparameterized Gradient Estimators
Matthias Bauer · Andriy Mnih
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Poster
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Thu 9:00
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Generalized Doubly Reparameterized Gradient Estimators
Matthias Bauer · Andriy Mnih
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Poster
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Wed 9:00
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Tractable structured natural-gradient descent using local parameterizations
Wu Lin · Frank Nielsen · Khan Emtiyaz · Mark Schmidt
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Oral
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Thu 19:00
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Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch)
Hunter Lang · David Sontag · Aravindan Vijayaraghavan
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Spotlight
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Wed 6:35
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Tractable structured natural-gradient descent using local parameterizations
Wu Lin · Frank Nielsen · Khan Emtiyaz · Mark Schmidt
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Poster
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Thu 21:00
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Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch)
Hunter Lang · David Sontag · Aravindan Vijayaraghavan
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