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A Variational Perspective on Accelerated Methods in Optimization
Presenter
- Michael Jordan
May 18, 2016
IMA
Practically Relevant Theory and Theoretically Relevant Practice of Deep Learning
Presenter
- Shai Shalev-Shwartz
May 17, 2016
IMA
Communication Efficient Algorithms for Distributed Machine Learning
Presenter
- Nina Balcan
May 16, 2016
IMA
Factored Gradient Descent: on Dropping Convexity for Faster Optimization
Presenter
- Sujay Sanghavi
May 16, 2016
IMA
Sparse Approximation, List Decoding, and Uncertainty Principles
Presenter
- Anna Gilbert
May 16, 2016
IMA
A Story of Principal Component Analysis in the Distributed Model
Presenter
- David Woodruff
May 16, 2016
IMA