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Why Deep Learning Works: Heavy-Tailed Random Matrix Theory as an Example of Physics Informed Machine Learning
Presenter
- Michael Mahoney
October 14, 2019
IPAM
An ICERM Public Lecture - Bias in bios: fairness in a high-stakes machine-learning setting
Presenter
- Adam Kalai
March 21, 2019
ICERM
An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) (Part 2/2)
Presenter
- David Xianfeng Gu
March 13, 2019
IPAM
An Optimal Transportation (OT) View of Generative Adversarial Networks (GANs) (Part 1/2)
Presenter
- David Xianfeng Gu
March 13, 2019
IPAM
Scalable Algorithms in the Age of Big Data and Network Sciences
Presenter
- Shang-Hua Teng
November 29, 2018
IPAM
Communication-Avoiding Algorithms for Linear Algebra, Machine Learning, and Beyond
Presenter
- James Demmel
October 18, 2018
IPAM
Partial Difference Operators on Weighted Graphs for Point Cloud Processing - From 3D Surfaces to Machine Learning
Presenter
- Daniel Tenbrinck
February 9, 2016
IPAM
Sparsity and rank: Applications to estimation, machine learning, and system identification.
Presenter
- Ben Recht
May 31, 2014
IMA
Optimal Mass Transport in Medical Imaging Computation
Presenter
- Allen Tannenbaum
October 15, 2013
SLMath
