Robust non-convex least squares loss function for regression with outliers.
Kuaini WangPing ZhongPublished in: Knowl. Based Syst. (2014)
Keyphrases
- loss function
- least squares
- robust estimators
- empirical risk
- risk minimization
- linear regression
- robust regression
- hinge loss
- robust estimation
- support vector
- gradient boosting
- reproducing kernel hilbert space
- stochastic gradient descent
- convex loss functions
- learning to rank
- logistic regression
- pairwise
- support vector regression
- convex optimization
- boosting algorithms
- square loss
- regularization term
- regression model
- ridge regression
- missing data
- machine learning
- data points
- multi class
- boosting framework
- model selection
- linear model