Introduces SRL and SMAE loss functions plus two robust linear regression models that achieve outlier robustness via learning-rate modulation, with vectorized GPU-friendly update rules.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Alternate loss functions and regression models that achieve robustness to outliers by modulating the learning rate
Introduces SRL and SMAE loss functions plus two robust linear regression models that achieve outlier robustness via learning-rate modulation, with vectorized GPU-friendly update rules.