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The conference on Theoretical Foundations of Machine Learning (TFML 2019) will take place in Kraków, Poland, on February 11-15, 2019. We invite submissions of papers addressing theoretical aspects of machine learning and related topics. We are especially interested in theoretically motivated perspectives on these areas:
Conference is organized by Department of Machine Learning, Institute of Computer Science and Computational Mathematics, Faculty of Mathematics and Computer Science, Jagiellonian University.
research paper submission - 30 Nov 2018
extended abstract submission - 21 Dec 2018
volunteer applications - 21 Dec 2018
research paper decision notification - 5 Jan 2019
extended abstract decision notification - 5 Jan 2019
volunteer applications notification - 5 Jan 2019
research paper camera ready version - 11 Jan 2019
registration 5-19 Jan 2019
conference - 11-15 Feb 2019
There will be three registration options:
TFML features two tracks:
Extended versions of the three best papers will be recommended to publish in AMCS - International Journal of Applied Mathematics and Computer Science (IF 1.694, 25 points in the evaluation procedure of the Polish Ministry of Science and Higher Education), where they will go through the regular journal review process. Publication fee will be covered by the conference organizers.
All submissions should be prepared in English, according to the Schedae Informaticae template. Page limits are as follows:
Papers will be selected via a double-blind peer-review process (the reviewers will not know the identities of the authors, and vice versa). It will be up to the authors to ensure the proper anonymization of their paper. In particular, the first page cannot include names or affiliations of the authors. When referring to one's own work, use the third person, rather than the first person. Violation of the above rules may lead to rejection without review.
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