On the detrimental effect of invariances in the likelihood for variational inference.
Richard KurleRalf HerbrichTim JanuschowskiYuyang WangJan GasthausPublished in: NeurIPS (2022)
Keyphrases
- variational inference
- bayesian inference
- posterior distribution
- topic models
- latent dirichlet allocation
- probabilistic model
- probabilistic graphical models
- gaussian process
- variational methods
- closed form
- maximum likelihood
- exponential family
- mixture model
- posterior probability
- log likelihood
- latent variables
- information retrieval
- expectation maximization