You're currently viewing an old version of this dataset. To see the current version, click here.

Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms

The dataset used in the paper is a stochastic compositional optimization problem, which is a type of machine learning task. The dataset is not explicitly described, but it is mentioned that it is used to test the stability and generalization of stochastic compositional gradient descent algorithms.

Data and Resources

Cite this as

Ming Yang, Xiyuan Wei, Tianbao Yang, Yiming Ying (2024). Dataset: Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms. https://doi.org/10.57702/bgfobs3j

DOI retrieved: December 17, 2024

Additional Info

Field Value
Created December 17, 2024
Last update December 17, 2024
Defined In https://doi.org/10.48550/arXiv.2307.03357
Author Ming Yang
More Authors
Xiyuan Wei
Tianbao Yang
Yiming Ying
Homepage https://arxiv.org/abs/2206.00439