Pam Liversidge Building, PLB-D05, University of Sheffield, UK,

17 - 17 September 2015

organized by Neil Lawrence, Javier Gonzalez, Sheffield ML Group,

Thursday 17 September

8:00 - 9:00 Arrivals

9:00 - 9:15 Welcome, Neil Lawrence, University of Sheffield

9:15 - 10:15 Recent Advances and Challenges in Bayesian Optimization, Nando de Freitas, University of Oxford and Google DeepMind

10:15 - 10:30 Coffee Break

10:30 - 11:30 Information-based methods for Bayesian Optimization, Matthew Hoffman, University of Cambridge

11:30 - 12:30 Fast Robot Learning with Gaussian Processes, Marc Deisenroth, Imperial College

12:30 - 13:15 Lunch Break

13:15 - 14:15 Variations on the Expected Improvement, David Ginsbourger, IDIAP and University of Bern

14:15 - 15:15 Bayesian Optimization for the outer and the inner loop, Philipp Hennig, Max Planck Institute for Intelligent Systems

15:15 - 16:45 Tea Break

16:45 - 17:45 Bayesian Optimisation is Probabilistic Numerics, Michael Osborne, University of Oxford