Convergence Rates of Variational Inference in Sparse Deep Learning.
Badr-Eddine Chérief-AbdellatifPublished in: ICML (2020)
Keyphrases
- deep learning
- convergence rate
- variational inference
- bayesian inference
- topic models
- probabilistic model
- unsupervised learning
- posterior distribution
- probabilistic graphical models
- variational methods
- mixture model
- gaussian process
- latent dirichlet allocation
- machine learning
- exact inference
- graphical models
- high dimensional
- hyperparameters
- information retrieval
- prior information
- approximate inference
- model selection
- computer vision
- support vector machine
- knowledge discovery
- bayesian networks