Distributed learning with infinitely many hypotheses

Angelia Nedic, Alex Olshevsky, Cesar A. Uribe. Distributed learning with infinitely many hypotheses. In 55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, NV, USA, December 12-14, 2016. pages 6321-6326, IEEE, 2016. [doi]

@inproceedings{NedicOU16,
  title = {Distributed learning with infinitely many hypotheses},
  author = {Angelia Nedic and Alex Olshevsky and Cesar A. Uribe},
  year = {2016},
  doi = {10.1109/CDC.2016.7799242},
  url = {http://dx.doi.org/10.1109/CDC.2016.7799242},
  researchr = {https://researchr.org/publication/NedicOU16},
  cites = {0},
  citedby = {0},
  pages = {6321-6326},
  booktitle = {55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, NV, USA, December 12-14, 2016},
  publisher = {IEEE},
  isbn = {978-1-5090-1837-6},
}