On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions. Li, X., Yang, L. F., Ge, J., Haupt, J. D., Zhang, T., & Zhao, T. CoRR, 2017.
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions. [link]Link  On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions. [link]Paper  bibtex   
@article{journals/corr/LiYGHZZ17,
  added-at = {2018-08-13T00:00:00.000+0200},
  author = {Li, Xingguo and Yang, Lin F. and Ge, Jason and Haupt, Jarvis D. and Zhang, Tong and Zhao, Tuo},
  biburl = {https://www.bibsonomy.org/bibtex/23897fb22b2b309ff00c01978d1e4632b/dblp},
  ee = {http://arxiv.org/abs/1706.06066},
  interhash = {37ecf10879cb810359c4e75103035ed5},
  intrahash = {3897fb22b2b309ff00c01978d1e4632b},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2018-08-14T14:03:10.000+0200},
  title = {On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions.},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr1706.html#LiYGHZZ17},
  volume = {abs/1706.06066},
  year = 2017
}

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