Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise.
Thamsanqa MlotshwaHeinrich van DeventerAnna Sergeevna BosmanPublished in: SACAIR (2022)
Keyphrases
- loss function
- heavy tailed
- maximum likelihood
- pairwise
- gaussian noise
- empirical risk
- random projections
- logistic regression
- support vector
- regularization term
- learning to rank
- risk minimization
- reproducing kernel hilbert space
- dimensionality reduction
- noise level
- missing data
- boosting algorithms
- stochastic gradient descent
- data points
- boosting framework
- convex loss functions