MSML2020 - Call For Papers

 

*VIRTUAL FORMAT - New Schedule:

MONDAY, JULY 20 - FRIDAY, JULY 24th, 2020 * 9:30 AM - 1:00 PM Eastern time

 

We invite submissions to the Mathematical and Scientific Machine Learning (MSML 2020: http://msml-conf.org/), and welcome paper submissions from all areas of machine learning including deep learning. MSML 2020 conference is a newly established conference, with emphasis on promoting the study of mathematical theory and algorithms of machine learning, and applications of machine learning in more traditional scientific and engineering disciplines. This conference aims to bring together the communities of machine learning, applied mathematics, and computational science and engineering, to exchange ideas and progress in this fast growing field.

 

Key dates

 

The planned dates are as follow:

  • Submission deadline: November 30, 2019, December 4, 2019, 5pm Pacific Time
    (extended considering the thanksgiving holiday)
  • First round review: February 21, 2020.
  • Rebuttal deadline: March 6, 2020, 5pm Pacific Time
  • Decision timeline: March 20, 2020 April 10, 2020
    (delayed due to the COVID-19 situation)

 

Submission Instructions

 

Papers should be submitted by Wednesday Dec 4, 2019 17:00 PM Pacific Time using the conference submission system at:  https://cmt3.research.microsoft.com/MSML2020

 

Style files and Templates

 

To prepare your submission to MSML 2020, please use the style files provided at: 

http://www.smartchair.org/f_/MSML2020/0addc/F1/paper style.zip

 

  • The page limit of the paper submission is 15 JMLR-style single column pages, with unlimited additional pages for citations.   
  • Authors may have include appendices (after the bibliography) to provide further detail, while the total page count of the appendices may not exceed 20, to make the review process manageable.
  • Do not include author names (this is done automatically), and to the extent possible, avoid directly identifying the authors. You should still include all relevant references, including your own, and any other relevant discussion, even if this might allow a reviewer to infer the author identities.
  • There will be an optional field to submit link to code at the time of submission. Code submission can strengthen the review process and we encourage all authors to submit code as part of their submission. Please keep in mind that code submitted should not reveal the identities of authors. 

 

Reviewing Procedure

 

After the initial review, the authors will have two weeks to submit their responses. The program committee reserves the right to solicit additional reviews after the author response period. The final acceptance decision will be made according to reviews and author responses. 

 

Dual Submission Policy

 

Submissions that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences or journals, are not allowed and violate our dual submission policy.  However, papers that cite previous related work by the authors and papers that have appeared on non-peered reviewed websites (like arXiv) or that have been presented at workshops (i.e., venues that do not have publication proceedings) do not violate the policy. The policy is enforced during the whole reviewing process period. Submission of the paper to archival repositories such as arXiv is allowed.  

 

Proceedings

 

The accepted papers of this conference will be published in the series of Proceedings of Machine Learning Research.

 

 

 


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