Bayesian Batch Active Learning as Sparse Subset Approximation.
Robert PinslerJonathan GordonEric T. NalisnickJosé Miguel Hernández-LobatoPublished in: NeurIPS (2019)
Keyphrases
- active learning
- batch mode
- sparse bayesian learning
- marginal likelihood
- sparse approximation
- high dimensional
- semi supervised
- monte carlo sampling
- relevance vector machine
- approximation methods
- training examples
- error bounds
- sparse representation
- incremental learning
- approximation error
- selective sampling
- approximation algorithms
- closed form
- learning strategies
- maximum likelihood
- supervised learning
- training set
- expectation propagation
- upper approximation
- bayesian learning
- sparse data
- bayesian methods
- gaussian processes
- sparse approximations
- bayesian inference
- labeled data
- active learning strategies
- machine learning
- imbalanced data classification
- queueing networks
- experimental design
- posterior distribution
- sparse coding