NOTE: You are viewing the 2018 year of the symposium. To view the most recent workshop, see here.
NEWS: The workshop's recording is available on YouTube.
NEWS: The PMLR volume corresponding to AABI2018 is available here. Congratulations to the authors of accepted papers!
In this symposium, besides recent advances in approximate inference, we will discuss the impact of Bayesian inference, connecting approximate inference methods with other fields. In particular, we encourage submissions that relate Bayesian inference to the fields of 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, such as variational inference and Monte Carlo.
This symposium is a continuation of past years workshops:
Registration is free but will be limited. Click here to register! More slots may become available as we free up the reserved slots for authors of the accepted papers. If you are unable to register, feel free to sign up on the waiting list. We will contact you if more slots become available. Given the limited seats, please cancel your registration if you know you will not be able to attend.