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New Progress on Stochastic Variance-Reduced Methods in Machine Learning: Adaptive Restart and Distributed Optimization
Presenter
- Qihang Lin
December 12, 2017
IMA
Total Variation Blind Deconvolution: The Devil is in the Details
Presenter
- Paolo Favaro
February 4, 2015
IPAM
Robust principal component analysis: Exact recovery of corrupted low-rank matrices via convex optimization
Presenter
- Yi Ma
October 6, 2009
IMA
Discrete Optimization Under Moment Uncertainty: Complexity, Persistency and Asymptotics
Presenter
- Dimitris Bertsimas
January 19, 2007
IMA
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II
Presenter
- Russell Impagliazzo
November 14, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I
Presenter
- Russell Impagliazzo
November 13, 2017
IAS
Universal Laws and Architectures: Theory and Lessons from Brains, Nets, Hearts, Bugs, Grids, Flows, and Zombies
Presenter
- John Doyle
November 16, 2015
IMA
Universal Laws and Architectures: Theory and Lessons from Brains, Nets, Hearts, Bugs, Grids, Flows, and Zombies
Presenter
- John Doyle
October 2, 2015
IMA