On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical 
Systems

Muehlebach, Michael; Jordan, Michael I.

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems

MPS-Authors

Muehlebach, Michael
Emmy Noether Research Group Learning and Dynamical Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

https://www.jmlr.org/papers/v23/21-0798.html
(Publisher version)

https://doi.org/10.48550/arXiv.2107.08225
(Preprint)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Muehlebach, M., & Jordan, M. I. (2022). On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems. Journal of Machine Learning Research, 23: 256. Retrieved from https://www.jmlr.org/papers/v23/21-0798.html.

Cite as: https://hdl.handle.net/21.11116/0000-000F-E1FF-4

Abstract

There is no abstract available