Morgane Austern: On the Gaussianity of Kolmogorov Complexity of Mixing Sequences
31:31
Peter Bloem: Kolmogorov complexity: approximation, separation and identification
1:10:51
K. Dingle and A. Louis: Why the world is simple ? The AIT coding theorem.
1:11:35
M. Hutter: Intro. to Algorithmic Information Theory and Universal Learning, Symposium on ML & AIT.
26:39
David Dowe: Minimum Message Length, Solomonoff-Kolmogorov complexity, intelligence, deep learning...
1:04:17
On the sample complexity of purity and inner product estimation
21:36
Amir Joudaki: Entropy Maximization with Depth: A Variational Principle for Random Neural Networks
28:25
Jeremy Bernstein: Max-Margin Neural Nets as Bayes Point Machines
48:16