10 citations · 22 across the 7 of their papers we have counts for
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cs.LG2023★ 2 cited
Generalization Guarantees of Gradient Descent for Multi-Layer Neural Networks
Puyu Wang, Yunwen Lei, Di Wang +2
Recently, significant progress has been made in understanding the generalization of neural networks (NNs) trained by gradient descent (GD) using the algorithmic stability approach.…
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…