Variational Inference for SDEs Driven by Fractional Noise.
Rembert DaemsManfred OpperGuillaume CrevecoeurTolga BirdalPublished in: CoRR (2023)
Keyphrases
- variational inference
- bayesian inference
- topic models
- variational methods
- mixture model
- probabilistic model
- posterior distribution
- latent dirichlet allocation
- gaussian process
- probabilistic graphical models
- noise level
- closed form
- signal to noise ratio
- exponential family
- missing data
- machine learning
- noisy images
- hyperparameters
- approximate inference
- graphical models