Description
Presented by Alex Graves (Google DeepMind) and Marc Aurelio Ranzato (Facebook)
Presented December 3rd, 2018
This tutorial Unsupervised Deep Learning will cover in detail, the approach to simply 'predict everything' in the data, typically with a probabilistic model, which can be seen through the lens of the Minimum Description Length principle as an effort to compress the data as compactly as possible.
Alex Graves is a research scientist at DeepMind. He did a BSc in Theoretical Physics at Edinburgh and obtained a PhD in AI under Jürgen Schmidhuber at IDSIA. He was also a postdoc at TU Munich and under Geoffrey Hinton at the University of Toronto.