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

Stochastic Trust Region and Cubic Regularization Methods for Non-convex Optimization

The dataset used in this paper is a finite-sum minimization problem, where each sample is a convex quadratic function.

Data and Resources

This dataset has no data

Cite this as

Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, Dacheng Tao (2024). Dataset: Stochastic Trust Region and Cubic Regularization Methods for Non-convex Optimization. https://doi.org/10.57702/ua41m8fl

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.1809.09853
Author	Liu Liu
More Authors	Xuanqing Liu Cho-Jui Hsieh Dacheng Tao