10 citations · 22 across the 7 of their papers we have counts for
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cs.LG2021★ 10 cited
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
Zhenhuan Yang, Yunwen Lei, Puyu Wang +2
Pairwise learning refers to learning tasks where the loss function depends on a pair of instances. It instantiates many important machine learning tasks such as bipartite ranking a…
cs.LG2021
Stability and Generalization for Randomized Coordinate Descent
Puyu Wang, Liang Wu, Yunwen Lei
Randomized coordinate descent (RCD) is a popular optimization algorithm with wide applications in solving various machine learning problems, which motivates a lot of theoretical an…
stat.ML2021★ 5 cited
Differentially Private SGD with Non-Smooth Losses
Puyu Wang, Yunwen Lei, Yiming Ying +1
In this paper, we are concerned with differentially private {stochastic gradient descent (SGD)} algorithms in the setting of stochastic convex optimization (SCO). Most of the exist…