Rényi Entropy Bounds on the Active Learning Cost-Performance Tradeoff.
Vahid JamaliAntonia Maria TulinoJaime LlorcaElza ErkipPublished in: ISIT (2020)
Keyphrases
- active learning
- expected loss
- active learning strategies
- shannon entropy
- cost sensitive
- upper bound
- learning strategies
- worst case
- sum of squared errors
- mutual information
- machine learning
- computational complexity
- high cost
- labeled data
- training set
- lower bound
- random sampling
- experimental design
- neural network
- optimal cost
- cost sensitive learning
- minimum cost
- semi supervised learning
- total cost
- upper and lower bounds
- information theory
- batch mode
- constant factor
- selective sampling
- learning process
- rare class
- learning algorithm
- multi class
- supervised learning