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20182023
most citedConvergence of stochastic gradient descent under a local Lojasiewicz condition for deep neural networks

1 citations · 1 across the 3 of their papers we have counts for

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cs.LG2023★ 1 cited

Convergence of stochastic gradient descent under a local Lojasiewicz condition for deep neural networks

Jing An, Jianfeng Lu

We study the convergence of stochastic gradient descent (SGD) for non-convex objective functions. We establish the local convergence with positive probability under the local Łojas…

cs.LG2021

Combining resampling and reweighting for faithful stochastic optimization

Jing An, Lexing Ying

Many machine learning and data science tasks require solving non-convex optimization problems. When the loss function is a sum of multiple terms, a popular method is the stochastic…