07:30 - 07:40 |
Introduction Organizers |
07:40 - 08:40 |
Invited talk: Between the Philosophy of Science and Machine Learning David Corfield (University of Kent) |
08:40 - 09:10 |
Information, Learning and Falsification David Balduzzi (MPI for Intelligent Systems) |
09:10 - 09:30 | Coffee break |
09:30 - 10:00 |
On the Computability and Complexity of Bayesian Reasoning Daniel Roy (University of Cambridge) |
10:00 - 10:15 |
A Neural-Symbolic Approach to the Contemporary Theory of Metaphor Artur dAvila Garcez (City University London), Guido Boella (Università di Torino), Alan Perotti(Università di Torino) |
10:15 - 10:30 |
Bayesian Causal Induction Pedro Ortega (MPI for Biological Cybernetics) |
10:30 - 16:00 | Ski Break |
16:00 - 17:00 |
Invited talk: Foundations of Induction Marcus Hutter (Australian National University) |
17:00 - 17:30 |
Beyond calculation: probabilistic computing machines and universal stochastic inference Vikash Mansinghka (MIT) |
17:30 - 17:45 | Coffee Break |
17:45 - 18:15 |
Universal Learning vs. No Free Lunch Results Shai Ben-David (University of Waterloo), Nathan Srebro (TTI-Chicago), Ruth Urner (University of Waterloo) |
18:15 - 18:45 |
Are Mental Properties Supervenient on Brain Properties? Joshua T. Vogelstein (Johns Hopkins University), R. Jacob Vogelstein (Johns Hopkins University), Carey E. Priebe (Johns Hopkins University) |
18:45 - 19:00 |
Toward a New Representation for Causation in Dynamic Systems Denver Dash (Intel Labs), Mark Voortman (University of Pittsburgh) |
19:00 - 20:00 |
Panel and Group Discussion (Joachim Buhmann, Tiberio Caetano, Nello Cristianini, Marcello Pelillo, Bob Williamson) |