Convergence Analysis of Over-parameterized Deep Linear Networks, and the Principal Components Bias.
Guy HacohenDaphna WeinshallPublished in: CoRR (2021)
Keyphrases
- principal components
- convergence analysis
- principal component analysis
- linear features
- global convergence
- dimensionality reduction
- hyperplane
- optimality conditions
- neural network
- weight vector
- covariance matrix
- principal component regression
- optimization problems
- evolutionary algorithm
- search space
- pattern recognition
- support vector