by M. C. Mukkamala, F. Westerkamp, E. Laude, D. Cremers and P. Ochs
Reference:
Bregman Proximal Gradient Algorithms for Deep Matrix Factorization (M. C. Mukkamala, F. Westerkamp, E. Laude, D. Cremers and P. Ochs), In Scale Space and Variational Methods in Computer Vision (A Elmoataz, J Fadili, Y Quéau, J Rabin, L Simon, eds.), Springer International Publishing, 2021.
Bibtex Entry:
@inproceedings{mukkamala2021bregman,
address = {Cham},
author = {M. C. Mukkamala and F. Westerkamp and E. Laude and D. Cremers and P. Ochs},
booktitle = {Scale Space and Variational Methods in Computer Vision},
date-modified = {2021-05-18 17:23:47 +0200},
editor = {Elmoataz, Abderrahim and Fadili, Jalal and Qu{\'e}au, Yvain and Rabin, Julien and Simon, Lo{\"\i}c},
isbn = {978-3-030-75549-2},
pages = {204--215},
publisher = {Springer International Publishing},
title = {Bregman Proximal Gradient Algorithms for Deep Matrix Factorization},
year = {2021},
eprint = {1910.03638},
eprinttype = {arXiv},
eprintclass = {math.OC},
}