164 citations · 572 across the 17 of their papers we have counts for
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cs.LG2023★ 9 cited
LibAUC: A Deep Learning Library for X-Risk Optimization
Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu +3
This paper introduces the award-winning deep learning (DL) library called LibAUC for implementing state-of-the-art algorithms towards optimizing a family of risk functions named X-…
cs.LG2022★ 4 cited
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization
Wei Jiang, Gang Li, Yibo Wang +2
Variance reduction techniques such as SPIDER/SARAH/STORM have been extensively studied to improve the convergence rates of stochastic non-convex optimization, which usually maintai…