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).
Eric Nalisnick
Assistant Professor, University of Amsterdam.
Yarin Gal
Associate Professor, University of Oxford.
Jakub Tomczak
Assistant professor, Vrije
Universiteit Amsterdam.
Clare Lyle
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.
Matthias Bauer
Research Scientist, Deepmind London.
Nicolas Durrande
Director of Research at Secondmind.
Markus Heinonen
Research Fellow, Aalto University and Finnish Center of AI.
Aude Sportisse
Postdoctoral researcher, INRIA Sophia-Antipolis.
Tuesday (Oct 12) | Wednesday (Oct 13) | ||
Session 1 Bayesian deep learning Chair: Wouter Boomsma |
Session 4 Generative models Chair: Søren Hauberg |
||
9:25-9:30 | Opening remarks Jes Frellsen |
||
9:30-10:30 | Matthias Bauer Revisiting the Laplace Approximation for Model Selection in BNNs |
09:00-10:00 | Mark van der Wilk Inductive Biases, Input Densities, and Predictive Uncertainty |
10:30-10:50 | Coffee | 10:00-10:20 | Coffee |
10:50-11:30 | Eric Nalisnick Predictive Complexity Priors |
10:20-11:00 | Jan-Willem van de Meent Compositional Inference in Probabilistic Programs |
11:30-12:30 | Clare Lyle Bayesian Model Selection and Generalization in Deep Learning |
11:00-12:00 | Jakub Tomczak Is the Likelihood-based Deep Generative Modeling appropriate for Representation Learning? |
12:30-13:30 | Lunch | 12:00-13:00 | Lunch |
Session 2 Missing data Chair: Pierre-Alexandre Mattei |
Session 5 Nonparametrics Chair: Ole Winther |
||
13:30-14:30 | Marine Le Morvan What's a good imputation to predict with missing values? |
13:00-14:00 | Yarin Gal Non-Bayesian Nonparametrics |
14:30-15:10 | Yarin Gal Surprice talk... |
14:00-14:40 | Nicolas Durrande Designing inducing variables that connect sparse Gaussian process models and Neural Networks |
15:10-15:30 | Coffee | 14:40-15:00 | Coffee |
Session 3 Dynamics Chair: Jes Frellsen |
15:00-15:10 | Concluding remark | |
15:30-16:10 | Markus Heinonen Learning continuous-time dynamics |
||
16:10-17:30 | Poster Session | ||
18:00- | Conference Dinner 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).