17 citations · 24 across the 4 of their papers we have counts for
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cs.LG2021★ 6 cited
The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods
Wei Tao, Sheng Long, Gaowei Wu +1
The adaptive stochastic gradient descent (SGD) with momentum has been widely adopted in deep learning as well as convex optimization. In practice, the last iterate is commonly used…
cs.LG2021
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization
Wei Tao, Wei Li, Zhisong Pan +1
Averaging scheme has attracted extensive attention in deep learning as well as traditional machine learning. It achieves theoretically optimal convergence and also improves the emp…