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SIAM Conference on Mathematics of Data Science (MDS24)

Invited Presentations

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Invited Presentations

  • Léon Bottou

    Meta, U.S.

    The Fiction Machine

  • Marco Cuturi

    Apple, France

    On Parameterizing Optimal Transport with Elastic Costs

  • Moon Duchin

    Cornell University, U.S.

    The Data and Science of Elections

  • Moritz Hardt

    Max Planck Institute for Intelligent Systems, Germany

    The Emerging Science of Benchmarks

  • Tamara G. Kolda

    MathSci.ai, U.S.

    Tensor Decomposition meets Reproducing Kernel Hilbert Spaces (RKHS)

  • Deanna Needell

    University of California, Los Angeles, U.S.

    Some Foundations and Fairness in Machine Learning

  • Jelani Nelson

    University of California, Berkeley, U.S.

    Smartphone Privacy: How to Learn from Distributed, Private Data

  • Kim-Chuan Toh

    National University of Singapore, Singapore

    Solving Sparse Statistical Optimization Problems by Semismooth Newton Based Proximal Point Algorithms

Please visit the Special Events page for Prize Lecture information.

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