Variational Inference for SDEs Driven by Fractional Noise.
Rembert DaemsManfred OpperGuillaume CrevecoeurTolga BirdalPublished in: ICLR (2024)
Keyphrases
- variational inference
- bayesian inference
- gaussian process
- mixture model
- topic models
- variational methods
- posterior distribution
- probabilistic graphical models
- probabilistic model
- latent dirichlet allocation
- noise level
- exponential family
- signal to noise ratio
- noise reduction
- approximate inference
- missing data
- closed form
- bayesian networks
- machine learning
- latent variables
- bayesian framework
- median filter
- parameter estimation
- exact inference
- unsupervised learning
- hidden markov models
- factor graphs