Feature Selection in Distributed Stochastic Linear Bandits.
Jiabin LinShana MoothedathPublished in: ACC (2023)
Keyphrases
- feature selection
- distributed systems
- stochastic systems
- regret bounds
- cooperative
- distributed environment
- feature set
- classification accuracy
- feature space
- unsupervised learning
- text categorization
- stochastic models
- monte carlo
- high dimensionality
- simple linear
- mobile agents
- feature selection algorithms
- computing environments
- machine learning
- lightweight
- mutual information
- support vector
- closed form
- fault tolerant
- linear systems
- stochastic processes
- multi class
- irrelevant features
- multi agent
- feature extraction
- multi armed bandit