SIAM Conference on Mathematics of Data Science (MDS 2020)

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The Society for Industrial and Applied Mathematics (SIAM) is proud to introduce the first SIAM Conference on Mathematics of Data Science (MDS 2020), which will take place on May 5–7, 2020 in Cincinnati, Ohio, U.S.A

同乐城娱乐 www.liuzhitangejiao.com Dear Colleagues,

We would like to encourage you to participate in MDS 2020. We welcome proposals for minisymposia (due October 7, 2019) and contributed talks (due November 4, 2019). Topics of interest and further details appear below. See the conference website https://www.siam.org/Conferences/CM/Conference/mds20?for full information.

We also encourage you to advertise the conference to students, colleagues, and relevant academic departments.

Please join us in making MDS 2020 a vibrant event!

Best regards,
Gitta Kutyniok, Ali Pinar, and Joel A. Tropp
(Co-Chairs, SIAM MDS 2020)

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About the conference:

The 2020 SIAM Conference on the Mathematics of Data Science (MDS 2020) provides a forum to present work that advances mathematical, statistical, and computational methods in the context of data and information sciences. It aims to unite researchers who are building foundations for data science and making principled applications to science, engineering, technology, and society.

Our plenary speakers are

Andrea L. Bertozzi, University of California, Los Angeles, U.S.A
Jennifer Chayes, Microsoft, U.S.A
David Donoho, Stanford University, U.S.A
Cynthia Dwork, Harvard University, U.S.A
Michael Jordan, University of California, Berkeley, U.S.A
Yann LeCun, Facebook, U.S.A
Yurii Nesterov, CORE/INMA, Catholic University of Louvain (UCL), Belgium


Topics of interest include but are not limited to

? Statistical inference
? Machine learning
? Optimization and control
? Signal processing and information theory
? Image processing and computer vision
? Privacy, fairness, bias, and ethics
? Numerical algorithms
? Theoretical computer science
? Network science
? Applied probability and random matrix theory
? Functional analysis, convex geometry, and approximation theory
? Education in data science
? Applications of data science in astrophysics, chemistry, earth science, materials science, biology, neuroscience, economics, engineering, banking, finance, security, and social sciences


MDS 2020 Co-Chairs:

Gitta Kutyniok, Technische Universit?t Berlin, Germany
Ali Pinar, Sandia National Laboratories, U.S.A
Joel A. Tropp, California Institute of Technology, U.S.A


MDS 2020 Organizing Committee:

Barbara Engelhardt, Princeton University, U.S.A
Mark Girolami, Cambridge University, U.K.
Ashish Goel, Stanford University, U.S.A
Mason Porter, University of California, Los Angeles, U.S.A
Bernhard Sch?lkopf, Max Planck Institute, Tübingen, Germany
Carola Sch?nlieb, Cambridge University, U.K.
Sara van de Geer, Eidgen?ssische Technische Hochschule, Zürich, C.H.
René Vidal, Johns Hopkins University, U.S.A
Karen Willcox, University of Texas, Austin, U.S.A
Steven Wright, University of Wisconsin, Madison, U.S.A
Tong Zhang, Hong Kong University of Science and Technology, P.R.C.