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Convergence of mean-field Langevin dynamics: Time and space discretization, stochastic gradient, and variance reduction.
Taiji Suzuki
Denny Wu
Atsushi Nitanda
Published in:
CoRR (2023)
Keyphrases
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stochastic gradient
variance reduction
monte carlo
naive bayes classifier
sample size
convergence speed
nearest neighbor classifier
markov random field
stochastic gradient descent
support vector
bayesian inference
importance sampling