6th Symposium on
Advances in Approximate Bayesian Inference
Sunday, 21 July 2024
Getreidemarkt 9, 1060 Vienna, BA Gebäude, 11th floor (TU the Sky
room)
Co-located with
ICML
Schedule
Morning session
Chair: Christian A. Naesseth
| 9:00 - 10:00 | Registration + Breakfast | |
| 9:30 - 11:00 | Poster Session 1 | Half of the posters (first come, first served) |
| 11:00 - 11:15 | Opening Remarks | Vincent Fortuin |
| 11:15 - 11:45 | Invited talk 1 |
Posterior Uncertainty Quantification in Neural Networks
using Data Augmentation
Sinead Williamson |
| 11:45 - 12:10 | Contributed talk 1 |
Fluctuation without dissipation: Microcanonical Langevin
Monte Carlo
Jakob Robnik, Uros Seljak |
| 12:10 - 12:40 | Invited talk 2 |
Scalable Automatic Differentiation of Probabilistic
Programs
Alex Lew |
| 12:40 - 12:55 | Contributed talk 2 |
Non-asymptotic approximations of Gaussian neural networks
via second-order Poincaré inequalities
Alberto Bordino, Stefano Favaro, Sandra Fortini |
| 12:55 - 13:10 | Contributed talk 3 |
In-Context In-Context Learning with Transformer Neural
Processes
Matthew Ashman, Cristiana Diaconu, Adrian Weller, Richard E. Turner |
| 13:15 - 13:17 | Sponsor Talk | Basis |
| 13:17 - 14:15 | Lunch Break | Self-catered: go explore Vienna together! |
Afternoon session
Chair: Siddharth Swaroop
| 14:15 - 15:45 | Poster Session 2 | The other half of the posters |
| 15:45 - 16:15 | Invited talk 3 |
Improvements in continuous time generative models:
automated learning, nonlinear noising, and data-dependent
bases
Rajesh Ranganath |
| 16:15 - 16:30 | Contributed talk 4 |
Bayesian Optimization for Precision Agriculture with
Scalable Probabilistic Models
Ruhana Azam, Sang T. Truong, samuel bonfim fernandes, Andrew D.B. Leakey, Alexander Lipka, Mohammed El-Kebir, Sanmi Koyejo |
| 16:30 - 16:45 | Contributed talk 5 |
PAC-Bayesian Soft Actor-Critic Learning
Bahareh Tasdighi, Abdullah Akgül, Manuel Haussmann, Kenny Kazimirzak Brink, Melih Kandemir |
| 16:45 - 17:00 | Contributed talk 6 |
Implicitly Bayesian Prediction Rules in Deep Learning
Bruno Kacper Mlodozeniec, Richard E. Turner, David Krueger |
| 17:00 - 17:30 | Invited talk 4 |
Alpha-divergence Variational Inference Meets Importance
Weighted Auto-Encoders: Methodology and Asymptotics
Kamélia Daudel |
| 17:30 - 17:45 | Coffee Break |
| 17:45 - 18:45 | Panel Discussion |
Approximate Inference for Modern AI
Moderator: Tim G. J. Rudner |
| 18:45 - 19:00 | Closing Remarks | Vincent Fortuin |
Evening "session"
| 19:15 - 22:15 | AABI Closing Event Hosted by Basis |
