10 citations · 32 across the 20 of their papers we have counts for
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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…
cs.LG2022★ 3 cited
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
Lijun Zhang, Wei Jiang, Jinfeng Yi +1
In this paper, we investigate an online prediction strategy named as Discounted-Normal-Predictor (Kapralov and Panigrahy, 2010) for smoothed online convex optimization (SOCO), in w…
cs.LG2022
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
Wei Jiang, Bokun Wang, Yibo Wang +2
In this paper, we investigate the problem of stochastic multi-level compositional optimization, where the objective function is a composition of multiple smooth but possibly non-co…