More in our investigation of using Bayesian Model Selection for Causal Discovery: Multivariate Graphs. As previously, the message is: Causal discovery requires assumptions, and Bayes enables soft, realistic assumptions. Good Bayesian inference then leads to good performance. 1/3

Today at NeurIPS, we’ll be presenting our Noether's Razor paper! 📜✨ 📅 Today Fri, Dec 13 ⏰ 11 a.m. – 2 p.m. PST 📍 East Exhibit Hall A-C, #4710 (ALL the way in the back I believe!) w/ @mvdw.bsky.social @pimdh.bsky.social Come say hi! 👋

I am looking for graduate students for my new lab at the University of Cambridge! Join me to understand and build models of visual perception. Apply here: t.co/NnIyI0nm8D