Program

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	Mon. 02	Tue. 03	Wed. 04
09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00	Welcome 13:45 - 14:00 (15min) Welcome IMS Amphitheater P. Chainais & F. Caron Randomized Design of Bayesian Conditional 14:00 - 15:00 (1h) Randomized Design of Bayesian Conditional IMS Amphitheater Anthony Quinn (University of Dublin) TBC 15:00 - 16:00 (1h) TBC IMS Amphitheater Tamara Broderick (MIT) Coffee break 16:00 - 16:30 (30min) Coffee break TBC 16:30 - 17:30 (1h) TBC IMS Amphitheater Rémi Bardenet (CRIStAL - CNRS - Lille) Cocktail 17:30 - 18:30 (1h) Cocktail Free evening 18:30 - 23:00 (4h30) Free evening (to check in, visit Bordeaux, walk around...)	Bayesian inference and convex geometry: theory, methods, and algorithms 9:00 - 10:00 (1h) Bayesian inference and convex geometry: theory, methods, and algorithms IMS Amphitheater Marcelo Peyrera (Heriot Watt university) Non parametric Bayesian priors for hidden Markov random fields: application to image segmentation 10:00 - 11:00 (1h) Non parametric Bayesian priors for hidden Markov random fields: application to image segmentation IMS Amphitheater Florence Forbes (INRIA Grenoble) Coffee break 11:00 - 11:30 (30min) Coffee break New insights on Bayesian graphs and neural networks from distributional properties 11:30 - 12:30 (1h) New insights on Bayesian graphs and neural networks from distributional properties IMS Amphitheater Julyan Arbel (INRIA Grenoble) Bayesian non parametric approaches 12:30 - 13:00 (30min) Bayesian non parametric approaches IMS Amphitheater Posters spotlight Posters buffet / Lunch 13:00 - 15:00 (2h) Posters buffet / Lunch Variational Bayesian methods that go beyond continuous parametric variational distributions 15:00 - 16:00 (1h) Variational Bayesian methods that go beyond continuous parametric variational distributions IMS Amphitheater Mingyuan Zhou Multi-armed bandits 16:00 - 17:00 (1h) Multi-armed bandits IMS Amphitheater Marco Battiston (Oxford university) Banquet 20:00 - 22:30 (2h30) Banquet	Bayesian Nonparametric Modelling with Neural Networks 9:00 - 10:00 (1h) Bayesian Nonparametric Modelling with Neural Networks IMS Amphitheater Yee Whye Teh (Oxford university) Bayesian nonparametric models derived from completely random measures 10:00 - 11:00 (1h) Bayesian nonparametric models derived from completely random measures IMS Amphitheater Igor Pruenster (Bocconi University) Coffee break 11:00 - 11:30 (30min) Coffee break Nonparametric Bayesian extraction of object configurations in massive data: application to galaxy detection on MUSE hyperspectral datacubes 11:30 - 12:30 (1h) Nonparametric Bayesian extraction of object configurations in massive data: application to galaxy detection on MUSE hyperspectral datacubes IMS Amphitheater Florent Chatelain (GIPSALab, Grenoble) Words of conclusion Lunch 12:30 - 13:00 (30min) Words of conclusion IMS Amphitheater Organizers 12:45 - 14:00 (1h15) Lunch

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