13:23

J. Calbert: Heuristic symbolic models via importance sampling and application

31:31

Peter Bloem: Kolmogorov complexity: approximation, separation and identification

27:31

Yuri Kalnishkan: Predictive Complexity Measures

21:36

Amir Joudaki: Entropy Maximization with Depth: A Variational Principle for Random Neural Networks

48:27

Bin Yu: Complexity, interpretation, and decision trees

28:25

Jeremy Bernstein: Max-Margin Neural Nets as Bayes Point Machines

1:03:43

Cómo hablar

26:39

David Dowe: Minimum Message Length, Solomonoff-Kolmogorov complexity, intelligence, deep learning...