Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergence.

Gersende Fort P. Gach Eric Moulines

Published in: CoRR (2020)

Keyphrases

expectation maximization
em algorithm
global convergence
evolutionary multiobjective
faster convergence
optimization process
optimization problems
optimization algorithm

global optimization
constrained optimization
convergence rate
optimization methods
maximum likelihood
generative model
incremental learning

evolutionary algorithm
probabilistic model
data driven
optimization model
finite number
image reconstruction
mathematical programming

convergence speed
probability density function
image segmentation
combinatorial optimization
optimization method
convergence analysis
mixture model