AISTATS 2016 Schedule

AI & Statistics 2016 May 9 (Monday) Time Schedule 9:00 – 10:00 Invited speaker: Richard Samworth 10:10 – 11:30 Oral Session 1.1: Gaussian processes GLASSES: Relieving The Myopia Of Bayesian OptimisationJavier Gonzalez, Michael Osborne, Neil Lawrence Optimization as Estimation with Gaussian Processes in Bandit SettingsZi Wang, Bolei Zhou, Stefanie Jegelka, Scalable Gaussian Process Classification via Expectation PropagationDaniel Hernandez-Lobato, Jose Miguel Hernandez-Lobato Control Functionals for Quasi-Monte Carlo IntegrationChris Oates, Mark Girolami 11:30 – 14:00 Poster session 1 14:00 – 15:30 Lunch (on your own) 15:30 – 16:50 Oral Session 1.2: Deep learning and reinforcement learning Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data AugmentationSøren Hauberg, Oren Freifeld, Anders Boesen Lindbo Larsen Bridging the Gap between Stochastic Gradient MCMC and Stochastic OptimizationChangyou Chen, David Carlson, Zhe Gan, Chunyuan Li, Lawrence…


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