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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
Learning dynamics with dynamical distances: From diffusion maps to commute maps and coherence
Presenter
- Ralf Banisch
December 5, 2016
IPAM
Explaining and Understanding Non-linear Classifier Decisions with Application to Deep Learning
Presenter
- Klaus-Robert Müller
November 18, 2016
IPAM
Machine Learning in Materials Science: Recent Progress and Critical Next Steps
Presenter
- Rampi Ramprasad
September 26, 2016
IPAM
Learning, Predictability and Stability in Big Games (Part 3)
Presenter
- Eran Shmaya
July 14, 2015
IPAM
Learning, Predictability and Stability in Big Games (Part 2)
Presenter
- Ehud Kalai
July 13, 2015
IPAM
Learning, Predictability and Stability in Big Games (Part 1)
Presenter
- Ehud Kalai
July 13, 2015
IPAM
Optimal Execution and Sochastic Approximation : Learning by Trading
Presenter
- Sophie Laruelle
April 14, 2015
IPAM
Geometric methods for the learning fast simulators of high-dimensional dynamical systems, and global reaction coordinates
Presenter
- Mauro Maggioni
July 25, 2014
IPAM