Yorgos

@yfelekis.bsky.social

PhD student in Machine Learning and Causality @ University of Warwick | Enrichment student @ The Alan Turing Institute | These days thinking about Causal Abstractions, Optimal Transport, Information Theory, and Emergence. Website: yfelekis.github.io

If it were an episode of Friends, it would be: The one where Causal Abstractions (finally) meet Causal Representation Learning! Speakers and CFP are out! See you in Rio🌴 #UAI #causality #workshop

riccardo@rmassidda.it · last yr.

🎉 The first edition of the "Causal Abstractions and Representations" workshop is here! 🇧🇷 Proudly hosted by @auai.org, we'll be in Rio de Janeiro on July 25, 2025. 🔨 Check out our invited speakers and the call for papers: we can't wait to see your submissions! 🌐 sites.google.com/view/car-25/

Interested in estimating posterior predictives in Bayesian inference? Really want to know if your approximate inference "is working"? Come to our poster at the NeurIPS BDU workshop on Saturday - see TL;DR below.

Bild