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Robust, Accurate Stochastic Optimization for Variational Inference.
Akash Kumar Dhaka
Alejandro Catalina
Michael Riis Andersen
Måns Magnusson
Jonathan H. Huggins
Aki Vehtari
Published in:
CoRR (2020)
Keyphrases
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stochastic optimization
variational inference
robust optimization
multistage
bayesian inference
topic models
probabilistic model
probabilistic graphical models
gaussian process
learning algorithm
artificial intelligence
simulated annealing
language model