Generative models and uncertainty quantification lie at the heart of Bayesian modelling and inference. At this small meeting, we discuss recent developments within the field. The meeting is deliberately kept small in order to ensure that discussion remains honest, lively and interesting. Attendance is, thus, mostly by invitation, but one can apply to join (see below).
Assistant Professor, University of Amsterdam.
Associate Professor, University of Oxford.
Assistant professor, Vrije Universiteit Amsterdam.
PhD student, University of Oxford.
Marine Le Morvan
Postdoctoral researcher, INRIA Saclay.
Jan-Willem van de Meent
Associate Professor & Co-director AMLab, University of Amsterdam.
Mark van der Wilk
Assistant Professor, Imperial College London.
Research Scientist, Deepmind London.
Director of Research at Secondmind.
Research Fellow, Aalto University and Finnish Center of AI.
Postdoctoral researcher, INRIA Sophia-Antipolis.
|Tuesday (Oct 12)||Wednesday (Oct 13)|
Bayesian deep learning
Chair: Wouter Boomsma
Chair: Søren Hauberg
Revisiting the Laplace Approximation for Model Selection in BNNs
|09:00-10:00||Mark van der Wilk
Inductive Biases, Input Densities, and Predictive Uncertainty
Predictive Complexity Priors
|10:20-11:00||Jan-Willem van de Meent
Compositional Inference in Probabilistic Programs
Bayesian Model Selection and Generalization in Deep Learning
Is the Likelihood-based Deep Generative Modeling appropriate for Representation Learning?
Chair: Pierre-Alexandre Mattei
Chair: Ole Winther
|13:30-14:30||Marine Le Morvan
What's a good imputation to predict with missing values?
Designing inducing variables that connect sparse Gaussian process models and Neural Networks
Chair: Jes Frellsen
Learning continuous-time dynamics
at restaurant Høst (directions)
If you would like to attend this workshop but have yet to receive an invitation, then please write an email to Søren Hauberg and include a link to your website or Google scholar profile. Note that seating is limited, so we cannot guarantee a ticket.
The workshop takes place at:
The conference is jointly organized by:
This workshop is funded by the Novo Nordisk Foundation with the workshop grant NNF19OC0059371 and through the Center for Basic Machine Learning Research in Life Science (NNF20OC0062606).