Bayesian Batch Active Learning as Sparse Subset Approximation.
Robert PinslerJonathan GordonEric T. NalisnickJosé Miguel Hernández-LobatoPublished in: CoRR (2019)
Keyphrases
- active learning
- batch mode
- sparse bayesian learning
- learning strategies
- sparse data
- high dimensional
- approximation error
- sparse approximation
- experimental design
- monte carlo sampling
- error bounds
- batch processing
- marginal likelihood
- learning algorithm
- learning process
- cost sensitive
- maximum likelihood
- online learning
- semi supervised
- bayesian learning
- compressed sensing
- bayesian networks
- pool based active learning
- crowd sourced
- relevance vector machine
- posterior distribution
- random sampling
- bayesian inference
- approximation algorithms
- incremental learning
- sparse representation
- training examples
- relevance feedback