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Efficient preconditioned stochastic gradient descent for estimation in
  latent variable models

Efficient preconditioned stochastic gradient descent for estimation in latent variable models

22 June 2023
C. Baey
Maud Delattre
E. Kuhn
Jean-Benoist Léger
Sarah Lemler
ArXivPDFHTML

Papers citing "Efficient preconditioned stochastic gradient descent for estimation in latent variable models"

2 / 2 papers shown
Title
Stochastic Approximation with Biased MCMC for Expectation Maximization
Stochastic Approximation with Biased MCMC for Expectation Maximization
Samuel Gruffaz
Kyurae Kim
Alain Durmus
Jacob R. Gardner
38
5
0
27 Feb 2024
Asymptotic normality of maximum likelihood and its variational
  approximation for stochastic blockmodels
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Peter J. Bickel
David S. Choi
Xiangyu Chang
Hai Zhang
60
220
0
04 Jul 2012
1