Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise.
Thamsanqa MlotshwaHeinrich van DeventerAnna Sergeevna BosmanPublished in: CoRR (2023)
Keyphrases
- loss function
- heavy tailed
- maximum likelihood
- gaussian noise
- pairwise
- random projections
- logistic regression
- learning to rank
- regularization term
- support vector
- denoising
- empirical risk
- boosting framework
- noise level
- reproducing kernel hilbert space
- risk minimization
- stochastic gradient descent
- multi class
- hinge loss
- solution path
- image denoising
- least squares
- convex loss functions