Towards the optimal construction of a loss function without spurious local minima for solving quadratic equations.
Zhenzhen LiJian-Feng CaiKe WeiPublished in: CoRR (2018)
Keyphrases
- loss function
- pairwise
- support vector
- nonlinear equations
- logistic regression
- learning to rank
- solution path
- risk minimization
- regularization term
- empirical risk
- reproducing kernel hilbert space
- optimal solution
- dynamic programming
- boosting framework
- stochastic gradient descent
- worst case
- hinge loss
- polynomial equations
- convex optimization
- quadratic program
- kernel function
- special case
- convex loss functions