J. Calbert: Heuristic symbolic models via importance sampling and application
1:11:35
M. Hutter: Intro. to Algorithmic Information Theory and Universal Learning, Symposium on ML & AIT.
21:36
Amir Joudaki: Entropy Maximization with Depth: A Variational Principle for Random Neural Networks
1:10:51
K. Dingle and A. Louis: Why the world is simple ? The AIT coding theorem.
1:01:26
Robust Deterministic Abstractions of Discr.-Time Cont.-State Systems through Linear State Feedback
48:27
Bin Yu: Complexity, interpretation, and decision trees
27:31
Yuri Kalnishkan: Predictive Complexity Measures
34:30
R. Dwivedi: Revisiting minimum description length complexity in overparameterized models
25:23