Jing An | DeepAI

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Featured Co-authors

Jianfeng Lu
98 publications
Lexing Ying
69 publications
Guido Montufar
55 publications
Gang Cao
12 publications
Yuhua Zhu
12 publications
Katerina Papagiannouli
5 publications
Xianglin Huang
4 publications
Pierre Bréchet
3 publications
Lifang Yang
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Xiaolong Wei
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Tao Zhulin
1 publication

∙ 04/18/2023

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

We extend the global convergence result of Chatterjee <cit.> by consider...

0 Jing An, et al. ∙

∙ 03/06/2023

Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss

We consider a deep matrix factorization model of covariance matrices tra...

0 Pierre Bréchet, et al. ∙

∙ 05/31/2021

Combining resampling and reweighting for faithful stochastic optimization

Many machine learning and data science tasks require solving non-convex ...

8 Jing An, et al. ∙

∙ 05/11/2021

Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments

At present, attention mechanism has been widely applied to the fields of...

0 Xiaolong Wei, et al. ∙

∙ 09/28/2020

Why resampling outperforms reweighting for correcting sampling bias

A data set sampled from a certain population is biased if the subgroups ...

0 Jing An, et al. ∙

∙ 05/21/2018

Stochastic modified equations for the asynchronous stochastic gradient descent

We propose a stochastic modified equations (SME) for modeling the asynch...

0 Jing An, et al. ∙

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