Black-Box Optimizer with Stochastic Implicit Natural Gradient.
Yueming LyuIvor W. TsangPublished in: ECML/PKDD (3) (2021)
Keyphrases
- black box
- natural gradient
- state transition
- blind source separation
- independent component analysis
- learning rate
- white box
- black boxes
- white box testing
- integration testing
- fixed point
- test cases
- optimization algorithm
- learning algorithm
- monte carlo
- policy gradient
- faster convergence
- independent components
- principal component analysis
- data model
- feature selection
- machine learning