Section on Bayesian AI

The primary purpose of the Section is to foster interaction and collaboration between the Bayesian statistics and AI communities and promote the research, application, and dissemination of Bayesian inference in machine learning and AI. To this end, the Section shall:

• Facilitate interactions between Bayesian statistics and AI.
• Promote Bayesian principles and ideas within deep learning and AI.
• Support research, application, dissemination, education, and collaboration in Bayesian AI by organizing section workshops, as well as organizing and endorsing sessions in other conferences, workshops, webinars, short courses across the two communities. Support researchers through travel support and prizes (funded by income from the Bayesian Deep Learning book, co-authored by the community).
• Support research to scale Bayesian methods so that they meet the needs of contemporary large-scale AI models, and to use the Bayesian paradigm beyond inference, towards reasoning, decision-making and online learning.
• Foster the availability of Bayesian methods through the development of software packages.

Events