Call for papers

We welcome submissions to the workshop under the general theme of “Beyond First-Order Optimization Methods in Machine Learning”. Topics of interest include, but are not limited to,

  • Second-order methods
  • Quasi-Newton methods
  • Derivative-free methods
  • Distributed methods beyond first-order 
  • Online methods beyond first-order 
  • Applications of methods beyond first-order to diverse applications (e.g., training deep neural networks, natural language processing, dictionary learning, etc)

We encourage submissions that are theoretical, empirical or both.


Submissions should be up to 4 pages excluding references, acknowledgements, and supplementary material, and should follow NeurIPS format. The CMT-based review process will be double-blind to avoid potential conflicts of interests; submit at https://cmt3.research.microsoft.com/OPTNeurIPS2019/.

Accepted submissions will be presented as posters.


Important Dates: 

Submission deadline: September 20, 2019 (23:59 ET) 

Acceptance notification: September 30, 2019

Final papers due: October 31, 2019


Registration:

Please refer to the NeurIPS website for registration details as they become available.


Poster:

Please refer to NeurIPS website for registration details as they become available.