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Stochastic Approximation with Biased MCMC for Expectation Maximization

Stochastic Approximation with Biased MCMC for Expectation Maximization

27 February 2024
Samuel Gruffaz
Kyurae Kim
Alain Durmus
Jacob R. Gardner
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Papers citing "Stochastic Approximation with Biased MCMC for Expectation Maximization"

3 / 3 papers shown
Title
Stochastic Approximation Beyond Gradient for Signal Processing and
  Machine Learning
Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning
Aymeric Dieuleveut
G. Fort
Eric Moulines
Hoi-To Wai
51
12
0
22 Feb 2023
Regularized Rényi divergence minimization through Bregman proximal
  gradient algorithms
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms
Thomas Guilmeau
Émilie Chouzenoux
Victor Elvira
29
3
0
09 Nov 2022
A High Probability Analysis of Adaptive SGD with Momentum
A High Probability Analysis of Adaptive SGD with Momentum
Xiaoyun Li
Francesco Orabona
87
65
0
28 Jul 2020
1