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RIKEN Brain Science Institute

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Presentation on theme: "RIKEN Brain Science Institute"— Presentation transcript:

1 RIKEN Brain Science Institute
MaxEnt 07’ Information Geometry of MaxEnt Principle Shun-ichi Amari RIKEN Brain Science Institute

2 Dual Affine Connections
Information Geometry Systems Theory Information Theory Statistics Neural Networks Combinatorics Physics Information Sciences Math. AI Riemannian Manifold Dual Affine Connections Manifold of Probability Distributions

3 Information Geometry ? Riemannian metric Dual affine connections

4 Manifold of Probability Distributions

5 Manifold of Probability Distributions

6 Invariance 1. Invariant under reparameterization
2. Invariant under different representation

7 Riemannian metric—Fisher information
Two Structures Riemannian metric—Fisher information Affine connection -- geodesic, straight line how curved is the manifold?

8 Riemannian Structure

9 Kullback-Leibler Divergence
quasi-distance

10 KL-divergence and Riemannian Structure
relation Fisher information matrix

11 Affine Connection covariant derivative straight line

12 Renyi-Tasallis Exponential connection Entropy KL-divergence Mixture connection Levi-Civita (Riemannian)

13 Affine Connections e-geodesic m-geodesic

14 Duality Y X Y X Riemannian geometry:

15 Independent Distributions

16 Dually flat manifold S = {p(x), x discrete}

17 Dually Flat Manifold 1. Potential Functions 2. Divergence
---convex (Legendre transformation) 2. Divergence KL-divergence 3. Pythagoras Theorem 4. Projection Theorem

18 Projection Theorem m-geodesic e-geodesic

19 Applications to Statistics
curved exponential family: : estimation : testing

20 High-Order Asymptotics
:Cramér-Rao

21 Other Applications Systems theory Information theory Neuromanifold
Belief propagation Boosting (Murata-Eguchi) Higher-order correlations Mathematics --- Orlicz space (Pistone, Gracceli) Physics --- Amari-Nagaoka, Methods of Information Geometry, AMS & Oxford U., 2000 Amari, Differential-Geometrical Methods of Statistics, Springer, 1985 Kass and Vos, Geomtrical Foundations of Asymptotic Inference, Wiley, 1997 Murrey and Rice, Differential Geometry and Statistics, Chapman, 1993

22 Exponential Family : dually flat
Two coordinate systems

23 Exponential Family example (1) : discrete distributions
Negative entropy

24 example (2) : Gaussian distributions
example (3) : AR model

25 Legendre transformation

26 Divergence Pythagorean Theorem m-flat e-flat

27 Divergence and Entropy
equi-divergence: equi-entropy

28 Dual Foliation Pythagorean theorem

29 Maximum Entropy

30 Simple Example : independence

31 Simple example : Gaussian

32 Time Series

33 Geometry Potentials

34 Stochastic Realization

35 Dual Problem

36 Rényi-Tsallis entropy
Manifold of positive measures m(x)

37 Entropy (alpha-entropy) is a fundamental quantity It is given rise to from a fundamental geometrical structure. KL-divergence is derived therefrom.


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