Back to the program

Invited Paper Session

Advances in Inference and Theory for Bayesian Neural Networks

Thu, Aug 8, 8:30 AM - 10:20 AM

Natalie KleinOrganizerGiosue MiglioriniOrganizerGiosuè MiglioriniChair

Section on Physical and Engineering Sciences

6 Presentations

Bayesian Neural Model Selection for Symmetry Learning

8:35 AM - 8:50 AM

Tycho van der Ouderaa

Functional Priors for Bayesian Deep Learning

8:50 AM - 9:05 AM

Maurizio Filippone (EURECOM)

Is Bayesian Model Selection Aligned with Model Generalization?

9:05 AM - 9:20 AM

Andrew Wilson (NYU)

Scaling Up Bayesian Neural Networks with Neural Networks

9:20 AM - 9:35 AM

Babak Shahbaba (UCI)

The Boons of Being Less Bayesian: a study of partially stochastic neural networks

9:35 AM - 9:50 AM

Eric Nalisnick (Johns Hopkins University)

Wide mean-field Bayesian neural networks ignore the data

9:50 AM - 10:05 AM

Beau Coker (Harvard University)

↑