Minimizers of Sparsity Regularized Huber Loss Function.
Deniz AkkayaMustafa Ç. PinarPublished in: J. Optim. Theory Appl. (2020)
Keyphrases
- loss function
- convex loss functions
- risk minimization
- loss minimization
- hinge loss
- regularization method
- solution path
- norm regularization
- pairwise
- support vector
- bregman divergences
- empirical risk
- learning to rank
- sparse representation
- sufficient conditions
- image restoration
- boosting framework
- reproducing kernel hilbert space
- stochastic gradient descent
- uniform convergence
- regularization term
- high dimensional
- linear programming
- pairwise constraints
- semi supervised learning
- regularization methods
- convex optimization
- partial differential equations
- least squares
- linear program