Efficient Inference in Multi-task Cox Process Models.
Virginia AgliettiTheodoros DamoulasEdwin V. BonillaPublished in: AISTATS (2019)
Keyphrases
- multi task
- process model
- efficient inference
- probabilistic inference
- learning tasks
- exact inference
- structured prediction
- business processes
- approximate inference
- regression model
- markov networks
- maximum margin
- multi class
- hidden variables
- feature selection
- learning problems
- conditional random fields
- graphical models
- markov random field
- transfer learning
- graph structure
- factor graphs
- gaussian processes
- supervised learning
- information retrieval
- message passing
- information gain
- belief propagation
- pairwise
- machine learning
- neural network
- multiple kernel learning
- semi supervised learning
- maximum likelihood