Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform.
Dmitriy RivkinDavid MegerDi WuXi ChenXue LiuGregory DudekPublished in: GLOBECOM (2021)
Keyphrases
- learning algorithm
- optimization problems
- discrete optimization
- optimization methods
- learning systems
- learning models
- learning scenarios
- connectionist networks
- significant improvement
- computationally efficient
- wireless sensor networks
- noise tolerant
- data structure
- neural network
- distribution network
- automatically learned
- stochastic gradient descent
- stochastic gradient
- recurrent networks
- kernel machines
- learning tasks
- online learning
- supervised learning
- prior knowledge
- learning process
- search algorithm
- decision trees
- real world