Reducing the variance in online optimization by transporting past gradients.
Sébastien M. R. ArnoldPierre-Antoine ManzagolReza BabanezhadIoannis MitliagkasNicolas Le RouxPublished in: NeurIPS (2019)
Keyphrases
- online learning
- real time
- optimization algorithm
- optimization problems
- global optimization
- optimization process
- databases
- constrained optimization
- trade off
- correlation coefficient
- stochastic gradient
- online environment
- discrete optimization
- optimization model
- online communities
- optimization methods
- optimization method
- bayesian networks
- information systems
- genetic algorithm
- real world
- neural network