5th Symposium on
Advances in Approximate Bayesian Inference

Sunday July 23rd, 2023 at the Ala Moana Hotel, 410 Atkinson Drive in Honolulu, Hawaii 96814 United States Co-located with ICML

Schedule

Authors presenting posters will be given their poster location at registration. Due to the large number of posters to be presented, we will be having two poster sessions. Authors presenting in the first poster sessions should arrive 10 minutes before its start to put up their posters. Authors presenting in the second poster session should arrive 10 minutes before the end of the lunch break to put up their posters.

Our talks will be divided into 3 thematic sessions. Invited talks will last 40 minutes (30 minutes talk + 10 minutes questions). Contributed talks will last 15 minutes (10 minutes talk + 5 minutes questions).

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8:00 - 9:00	Registration + Breakfast
8:30 - 10:00	Poster Session 1 (OpenReview paper IDs: 22-41 Regular track and 10-19 Fast track )

Session 1: Generative Models

Chair: Javier Antorán

10:00 - 10:10

Opening Remarks

10:10 - 10:50	Invited	Approximate Bayesian Inference, Algorithms, and Diffusion Models; Is Our Gig Up? Frank Wood
10:50 - 11:05	Contributed	How to Train Your FALCON: Learning Log-Concave Densities with Energy-Based Neural Networks Alexander Lin, Demba E. Ba
11:05 - 11:45	Invited	Diffusion Schrödinger Bridge Matching Valentin de Bortoli
11:45 - 12:00	Contributed	Neural Adaptive Smoothing via Twisting Michael Y. Li, Dieterich Lawson, Scott Linderman

12:00 - 13:00

Lunch Break (On your own)

Session 2: VI and MCMC

Chair: Ruqi Zhang

13:00 - 13:40	Invited	Gaussian-Bernoulli RBMs Without Tears Renjie Liao
13:40 - 13:55	Contributed	Automatically Marginalized MCMC in Probabilistic Programming Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon
13:55 - 14:35	Invited	Probabilistic inference when the model is wrong Diana Cai
14:35 - 14:50	Contributed	Variational Prediction Alexander A Alemi, Ben Poole

14:50 - 16:00

Poster Session 2 (OpenReview paper IDs: 1-21 Regular track and 1-9 Fast track ) + Coffee Break

Session 3: Bayesian Neural Networks

Chair: Vincent Fortuin

16:00 - 16:40	Invited	Bayesian Autoencoders Maurizio Fillipone
16:40 - 16:55	Contributed	Online Laplace Model Selection Revisited Jihao Andreas Lin, Javier Antorán, José Miguel Hernández-Lobato

16:55 - 17:55	Panel Discussion: Approximate inference in the age of generative AI Moderator: Theofanis Karaletsos
17:55 - 18:00	Closing Remarks