Here are the videos of this past week's Deep Learning Boot Camp, (May 28 – May 31, 2019) that took place at the Simons Institute for the Theory of Computing. Thank you to the organizing committee:
The Boot Camp is intended to acquaint program participants with the key themes of the program. It consisted of four days of tutorial presentations.
- Opening Remarks
- Generalization I Peter Bartlett (UC Berkeley) and Sasha Rakhlin (Massachusetts Institute of Technology)
- Approximation Power Matus Telgarsky (University of Illinois, Urbana-Champaign)
- Generalization II Peter Bartlett (UC Berkeley) and Sasha Rakhlin (Massachusetts Institute of Technology)
- Open Problems
- Generalization III Peter Bartlett (UC Berkeley) and Sasha Rakhlin (Massachusetts Institute of Technology)
- Recent Developments in Over-parametrized Neural Networks, Part I Jason Lee (University of Southern California)
- Generalization IV Peter Bartlett (UC Berkeley) and Sasha Rakhlin (Massachusetts Institute of Technology)
- Adversarial Examples Sébastien Bubeck (Microsoft Research)
- Recent Developments in Over-parametrized Neural Networks, Part II Jason Lee (University of Southern California)
- Nearest Neighbors I Kamalika Chaudhuri (UC San Diego)
- Implicit Regularization I Nati Srebro (Toyota Technological Institute at Chicago)
- Implicit Regularization II Nati Srebro (Toyota Technological Institute at Chicago)
- Generative Models Elchanan Mossel (Massachusetts Institute of Technology)
- Nearest Neighbors II Kamalika Chaudhuri (UC San Diego)
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