Distributed Variational Inference for Online Supervised Learning.
Parth ParitoshNikolay AtanasovSonia MartínezPublished in: CoRR (2023)
Keyphrases
- variational inference
- supervised learning
- bayesian inference
- probabilistic model
- probabilistic graphical models
- latent dirichlet allocation
- posterior distribution
- mixture model
- reinforcement learning
- gaussian process
- topic models
- learning algorithm
- exponential family
- variational methods
- distributed systems
- semi supervised
- class labels
- exact inference
- active learning
- image segmentation
- machine learning
- closed form
- first order logic
- maximum likelihood