Login / Signup
Robust, Accurate Stochastic Optimization for Variational Inference.
Akash Kumar Dhaka
Alejandro Catalina
Michael Riis Andersen
Måns Magnusson
Jonathan H. Huggins
Aki Vehtari
Published in:
NeurIPS (2020)
Keyphrases
</>
stochastic optimization
variational inference
robust optimization
bayesian inference
multistage
probabilistic model
latent dirichlet allocation
posterior distribution
gaussian process
variational methods
text mining
probabilistic graphical models
utility function
approximate inference