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Gaussian Variances and Large Scale Bayesian Inference
Published on Jan 15, 20133127 Views
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Chapter list
Gaussian Variances and Large Scale Bayesian Inference00:00
Image Reconstruction00:53
Sampling Optimization02:02
Bayesian Experimental Design02:35
Blind Deconvolution03:38
Sparse Linear Model (1)04:40
Sparse Linear Model (2)06:09
Variational Bayesian Inference (1)06:15
Variational Bayesian Inference (2)07:05
No (Variational) Inference Without ...08:03
Why Inference Algorithms Are Slow08:54
Decoupling by Concavity (1)09:32
Decoupling by Concavity (2)09:56
Double Loop Algorithm (1)10:26
Double Loop Algorithm (2)11:03
Double Loop Algorithm (3)11:21
Information Gain (1)11:55
Information Gain (2)12:24
Gaussian Covariance12:55
A Difficult Problem (1)13:37
A Difficult Problem (2)14:19
A Difficult Problem (3)14:51
A Difficult Problem (4)15:14
Low Rank Approximations (1)15:33
Low Rank Approximations (2)16:12
Hadamard Vectors (1)16:27
Hadamard Vectors (2)16:49
Hadamard Vectors (3)16:56
Perturb&MAP (1)17:19
Perturb&MAP (2)17:54
Perturb&MAP (3)18:32
Perturb&MAP (4)19:12
Perturb&MAP (5)19:46
Hybrid Approaches (1)21:31
Hybrid Approaches (2)22:30
Conclusions (1)23:10
Conclusions (2)23:50
Conclusions (3)24:03
Conclusions (4)24:28