MSML2020 - Call For Papers
15-17 July 2020, Princeton
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.
The planned dates are as follow:
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:
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 a 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 are allowed.
The accepted papers of this conference will be published in the series of Proceedings of Machine Learning Research.
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