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0:20:00
Riemannian metric
0:31:11
Manifolds and Tangent Spaces
0:05:41
Tangent vectors under changes of coordinates
0:23:01
Repeated observations and maximum likelihood estimators
0:13:24
Mutual information
0:20:02
Maximum entropy principle and e-projection
0:15:17
Bregman divergence and exponential family
0:09:59
Kernel exponential family of probability distributions
0:13:47
Infinite-dimensional manifold of probability distributions: KL-divergence
0:50:09
Infinite-dimensional manifold of probability distributions
0:18:11
Flat structure: e-flat and m-flat
0:17:30
Mixture family of probability distributions
0:13:23
Example of Exponential Family: Discrete Distributions
0:10:59
Example of Exponential Family: Gaussian Distributions
0:31:32
Exponential family of probability distributions
0:12:34
Divergence between submanifolds
0:29:38
Projection Theorem relating dual orthogonal projection and divergence minimizing projection
0:20:19
Generalized Pythagorean Theorem
0:27:49
Parallel Transport of Vectors
0:31:40
Tangent space, basis vectors, and Riemannian metric
0:18:03
Affine and dual affine coordinate systems
0:29:53
Legendre transform of convex functions and Bregman divergence
0:16:25
Convex functions and Bregman divergence: Examples of Bregman divergence
0:08:17
Convex functions and Bregman divergence: Bregman divergence
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