Juergen Schmidhuber
(IDSIA)
11/07/2015 14:00
Most machine learning researchers focus on domain-specific learning algorithms. Can we also construct meta-learning algorithms that can learn better learning algorithms, and better ways of learning better learning algorithms, and so on, restricted only by the fundamental limitations of computability? In 1965, J. Good already made informal remarks on an intelligence explosion through such...
David Duvenaud
(Harvard University)
11/07/2015 14:40
How could an artificial intelligence do statistics? It would need an open-ended language of models, and a way to search through and compare those models. Even better would be a system that could explain the different types of structure found, even if that type of structure had never been seen before. This talk presents a prototype of such a system, which builds structured Gaussian processes...