Perspective: new insights from loss function landscapes of neural networks.
Sathya R. ChitturiPhilipp C. VerpoortAlpha A. LeeDavid J. WalesPublished in: Mach. Learn. Sci. Technol. (2020)
Keyphrases
- loss function
- neural network
- pairwise
- logistic regression
- support vector
- empirical risk
- learning to rank
- risk minimization
- reproducing kernel hilbert space
- back propagation
- boosting framework
- regularization term
- convex loss functions
- hinge loss
- information retrieval
- data mining
- stochastic gradient descent
- solution path
- learning algorithm
- bayes rule