Co-located with ICML in Honolulu Hawaii, Sunday July 23rd, 2023.
In recent years, there have been numerous advances in approximate inference methods, which have enabled Bayesian inference in increasingly challenging scenarios involving complex probabilistic models and large datasets. The 5th Symposium on Advances in Approximate Bayesian Inference (AABI) will discuss this impact of Bayesian inference, connecting both variational and Monte Carlo methods with other fields. We encourage submissions that relate Bayesian inference to the fields of deep learning, reinforcement learning, causal inference, decision processes, Bayesian compression, or differential privacy, among others. We also encourage submissions that contribute to connecting different approximate inference methods.
For the call for papers and submission instructions, click here. This year we will be running an additional fast-track call for authors to present papers accepted at ICML 2023 and UAI 2023.
Please fill out this form to nominate reviewers, speakers and panelists for AABI 2023 (self-nominations are allowed).
Registration will be free but limited. More details coming soon!
This symposium is a continuation of past years events:
Questions? Contact us at firstname.lastname@example.org.