Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/6941
Title: Natural gradient evolution strategies for adaptive samplin
Authors: Kiprop, Ambrose K.
Ronoh, Nixon
Milgo, Edna
Keywords: Adaptive MCMC
Evolution strategies
Natural gradient
Issue Date: 2022
Abstract: We evaluate two (1+1)-natural evolution strategies (NES) turned into adaptive Markov chain Monte Carlo (MCMC) samplers on a test suite of probability distributions. We compare their performance with the AM-family of samplers considered to be the state of the art in adaptive MCMC. Our experiments show that natural gradient-based adaptation used in NES further improves adaptive MCMC
URI: http://ir.mu.ac.ke:8080/jspui/handle/123456789/6941
Appears in Collections:School of Biological and Physical Sciences

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