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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...
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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...
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05/31/2021
Combining resampling and reweighting for faithful stochastic optimization
Many machine learning and data science tasks require solving non-convex ...
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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...
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09/28/2020
Why resampling outperforms reweighting for correcting sampling bias
A data set sampled from a certain population is biased if the subgroups ...
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05/21/2018