1. Random classification noise defeats all convex potential boosters;Long,2008
2. Boosting in the presence of outliers: adaptive classification with nonconvex loss functions;Li;J. Am. Stat. Assoc.,2018
3. H. Masnadi-Shirazi, N. Vasconcelos, On the design of loss functions for classification: theory, robustness to outliers, and savageboost, Advances in Neural Information Processing Systems 21.
4. Laplacian Welsch regularization for robust semisupervised learning;Ke;IEEE Trans. Cybern.,2020
5. Robust loss function for deep learning regression with outliers;Sadouk,2020