Program

9:00-9:30 : Registration and Welcome Coffee 

9:30 - 10:20 : Yingzhen Li, Imperial College London

10:20 - 11:10 : Justin Domke, UMass Amherst
"Convergence guarantees for variational inference"

11:10 - 11:30 : Coffee Break

11:30 - 12:20 : Maurizio Filippone, KAUST

"Improving Optimization of Likelihood-based Generative Models with One Line of Code "

12:20 - 13:50 : Lunch Break (Buffet lunch at IHP)

13:50 - 14:40 : Emilie Chouzenoux, Inria Saclay, 

"Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution"

14:40 - 15:20 : Flash Talks

15:20 - 15:50 : Coffee Break

15:50 - 16:40 : Judith Rousseau, Université Paris Dauphine

16:40 - 17:30 : Jeremias Knoblauch, University College London

"Post-Bayesian Inference"

17:30 : Cocktail

19:30 : Dinner (booked for speakers and organizers only)

9:00-9:30 : Registration and Welcome Coffee 

9:30 - 10:20 : Pierre Latouche, Université Clermont Auvergne, CNRS
"From generative models to deep generative models. Towards variational inference in deep generative models" 

10:20 - 11:10 : Roberto Leon Gonzalez, GRIPS, Tokyo 

"Approximate Factor Models with a Common Multiplicative Factor for Stochastic Volatility" 

11:10 - 11:30 : Coffee Break

11:30 - 12:20 : Daniele Bianchi, Queen Mary University of London

"Dynamic Variable Selection in high-dimensional Predictive Regressions" 

12:20 - 13:50 : Buffet lunch at IHP