Bayesian inference provides a robust framework for combining prior knowledge with new evidence to update beliefs about uncertain quantities. In the context of statistical inverse problems, this ...

理研AIPセンターは、機械学習や最適化の基礎から、医療、材料、災害への応用、人工知能の倫理や社会的影響の分析まで、40以上の研究チームを擁しています。 この度、2020年11月より週1回のペースで「AIPオープンセミナー」を開催しています。このオープン ...

We show how the notion ofmessage passing can be used to streamline the algebra and computer coding for fast approximate inference in large Bayesian semiparametric regression models. In particular, ...

RIKEN AIP houses more than 40 research teams ranging from fundamentals of machine learning and optimization, applications in medicine, materials, and disaster, to analysis of ethics and social impact ...

The Department of Computer Science, Faculty of Science, University of Helsinki invites applications for a Postdoctoral Researcher in Probabilistic Machine Learning and Amortized Inference. The is an ...