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