Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems

Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma. Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems. In Min-Ling Zhang, Yung-Kyun Noh, editors, Proceedings of The 9th Asian Conference on Machine Learning, ACML 2017, Seoul, Korea, November 15-17, 2017. Volume 77 of Proceedings of Machine Learning Research, pages 49-64, JMLR.org, 2017. [doi]

@inproceedings{ChauhanDS17,
  title = {Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems},
  author = {Vinod Kumar Chauhan and Kalpana Dahiya and Anuj Sharma},
  year = {2017},
  url = {http://proceedings.mlr.press/v77/chauhan17a.html},
  researchr = {https://researchr.org/publication/ChauhanDS17},
  cites = {0},
  citedby = {0},
  pages = {49-64},
  booktitle = {Proceedings of The 9th Asian Conference on Machine Learning, ACML 2017, Seoul, Korea, November 15-17, 2017},
  editor = {Min-Ling Zhang and Yung-Kyun Noh},
  volume = {77},
  series = {Proceedings of Machine Learning Research},
  publisher = {JMLR.org},
}