20:37
Oral Session: Sampling from Probabilistic Submodular Models
Microsoft Research
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1:38:58
Submodularity - Stefanie Jegelka - MLSS 2017
Max Planck Institute for Intelligent Systems
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2:08
59:29
1:04:01
Submodularity: Theory and Applications I
Simons Institute for the Theory of Computing
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3:40
1:36:00
25:42
Machine Learning Work Shop - Why Submodularity is Important to Machine Learning
Microsoft Research
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21:50
2:59
Variational Inference in Mixed Probabilistic Submodular Models
LAS @ ETH Zurich
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1:25:02
2:34
Variational Inference in Mixed Probabilistic Submodular Models
LAS @ ETH Zurich
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1:29:54