Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees

Empirical Inference

Author(s):	Locatello, F. and Tschannen, M. and Rätsch, G. and Jaggi, M.
Book Title:	Advances in Neural Information Processing Systems 30 (NIPS 2017)
Pages:	773--784
Year:	2017
Month:	December
Day:	4-9
Editors:	Guyon I. and Luxburg U.v. and Bengio S. and Wallach H. and Fergus R. and Vishwanathan S. and Garnett R.
Publisher:	Curran Associates, Inc.

BibTeX Type:	Conference Paper (conference)

Event Name:	31st Annual Conference on Neural Information Processing Systems
Event Place:	Long Beach, CA, USA
State:	Published
URL:	http://papers.nips.cc/paper/6679-greedy-algorithms-for-cone-constrained-optimization-with-convergence-guarantees.pdf

Electronic Archiving:	grant_archive

BibTeX

@conference{LocTscRatJag17,
  title = {Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees},
  booktitle = {Advances in Neural Information Processing Systems 30 (NIPS 2017)},
  pages = {773--784},
  editors = {Guyon I. and Luxburg U.v. and Bengio S. and Wallach H. and Fergus R. and Vishwanathan S. and Garnett R.},
  publisher = {Curran Associates, Inc.},
  month = dec,
  year = {2017},
  author = {Locatello, F. and Tschannen, M. and R{\"a}tsch, G. and Jaggi, M.},
  url = {http://papers.nips.cc/paper/6679-greedy-algorithms-for-cone-constrained-optimization-with-convergence-guarantees.pdf},
  month_numeric = {12}
}