Gradient Learning under Tilted Empirical Risk Minimization
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DOI: 10.3390/e24070956
Abstract: Gradient Learning (GL), aiming to estimate the gradient of target function, has attracted much attention in variable selection problems due to its mild structure requirements and wide applicability. Despite rapid progress, the majority of the… read more here.
Keywords: risk minimization; empirical risk; gradient learning; gradient ... See more keywords