AISTATS Best Paper Award for Jeremias Knoblauch and Francois-Xavier Briol

Jeremias Knoblauch and Francois-Xavier Briol were recently awarded a Best Paper Award at AISTATS 2022 (The International Conference for Artificial Intelligence and Statistics) for their paper on “Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap”. This paper provides a new method for performing Bayesian inference in cases where the likelihood is not available. A key feature of the approach is its scalability due to an embarrassingly parallel implementation and the fact that it is provably robust to model misspecification. For more details, see the preprint available at: https://arxiv.org/abs/2202.04744