Active Learning of Conditional Mean Embeddings via Bayesian Optimisation.
Sayak Ray ChowdhuryRafael OliveiraFabio RamosPublished in: UAI (2020)
Keyphrases
- active learning
- learning strategies
- selective sampling
- bayesian networks
- vector space
- genetic algorithm
- bayesian estimation
- training examples
- data driven
- supervised learning
- semi supervised
- machine learning
- learning algorithm
- belief nets
- random field model
- relevance feedback
- random sampling
- low dimensional
- bayesian inference
- euclidean space
- posterior distribution
- gaussian processes
- bayesian learning
- training set
- labeled data
- maximum likelihood
- pool based active learning
- manifold learning
- posterior probability
- experimental design
- transfer learning
- active learning strategies