Invited Plenary Speakers

Léon Bottou
Meta, U.S.
The Fiction Machine

Marco Cuturi
Apple, France
On Parameterizing Optimal Transport with Elastic Costs

Moon Duchin
Tufts 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 information.