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Information geometry
Introduction to Information Geometry – Based on the Book “Methods of Information Geometry ”Written by Shun-Ichi Amari and Hiroshi Nagaoka
Arxiv:1907.11122V2 [Math-Ph] 23 Aug 2019 on M Which Are Dual with Respect to G
Information Geometry of Orthogonal Initializations and Training
Information Geometry and Optimal Transport
Information Geometry (Part 1)
Information Geometry: Near Randomness and Near Independence
Exponential Families: Dually-Flat, Hessian and Legendre Structures
Information-Geometric Optimization Algorithms: a Unifying Picture Via Invariance Principles
Fisher-Rao Geometry of Dirichlet Distributions Alice Le Brigant, Stephen Preston, Stéphane Puechmorel
Information-Geometric Optimization Algorithms: a Unifying Picture Via Invariance Principles Yann Ollivier, Ludovic Arnold, Anne Auger, Nikolaus Hansen
The Fisher-Rao Geometry of Beta Distributions Applied to the Study of Canonical Moments Alice Le Brigant, Stéphane Puechmorel
Applications of Information Geometry to Hypothesis Testing and Signal
Information Geometry of Α-Projection in Mean Field Approximation
Computational Methods of Information Geometry with Real-Time Applications in Audio Signal Processing Arnaud Dessein
Information Geometry Connecting Wasserstein Distance and Kullback– Leibler Divergence Via the Entropy-Relaxed Transportation Problem
Information Geometry Formalism for the Spatially Homogeneous Boltzmann Equation
Information Geometry for Regularized Optimal Transport and Barycenters of Patterns
Information-Geometry of Physics-Informed Statistical Manifolds and Its Use in Data Assimilation
Top View
Information Geometry and Integrable Systems
Information Geometry and Its Applications: an Overview
An Elementary Introduction to Information Geometry
Curvature and Inference for Maximum Likelihood Estimates
Information Geometry of Divergence Functions
Arxiv:1801.03026V2 [Cond-Mat.Stat-Mech] 20 Mar 2018 Hs Rniin (64.70.Tg)
An Information Geometry of Statistical Manifold Learning
Deriving and Improving CMA-ES with Information Geometric Trust Regions
Revisiting Bayesian CMA-ES
Nonparametric Fisher Geometry with Application to Density Estimation
Bounding the Entropic Region Via Information Geometry Yunshu Liu John Maclaren Walsh Dept
Information Geometry and Quantum Fields
An Elementary Introduction to Information Geometry
Information Geometry
Information Geometry
Generalized Bayesian Cramér-Rao Inequality Via Information Geometry of Relative Α-Entropy
Information Geometry Connecting Wasserstein Distance and Kullback–Leibler Divergence Via the Entropy-Relaxed Transportation Problem
Information Geometry for Neural Networks