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Title: Gradient flow of the stochastic relaxation on a generic exponential family

We study the natural gradient flow of the expected value E{sub p} [f] of an objective function f for p in an exponential family. We parameterize the exponential family with the expectation parameters and we show that the dynamical system associated to the natural gradient flow can be extended outside the marginal polytope.
Authors:
 [1] ;  [2]
  1. Collegio Carlo Alberto, Via Real Collegio 30, 10024 Moncalieri, Italy and Shinshu University, 4-17-1 Wakasato, Nagano 380-8553 (Japan)
  2. Collegio Carlo Alberto, Via Real Collegio 30, 10024 Moncalieri (Italy)
Publication Date:
OSTI Identifier:
22390868
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1641; Journal Issue: 1; Conference: MAXENT 2014: Conference on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Clos Luce, Amboise (France), 21-26 Sep 2014; Other Information: (c) 2015 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; EXPECTATION VALUE; FUNCTIONS; PARAMETRIC ANALYSIS; RELAXATION; STOCHASTIC PROCESSES