🎖️ Honorable Mention: "Gaussian Process Limit Reveals Structural Benefits of Graph Transformers" — Nil Ayday, Lingchu Yang, Debarghya Ghoshdastidar

🥈 Runner-up: "Nonlinear Axiomatic Attribution for Cooperative Games" — Weida Li, Zhuanghua Liu, Yaoliang Yu, Bryan Kian Hsiang Low

🥇 Best Paper: "Fundamental Limits and Optimal Methods for Sharp Analytical Causal Bounds in Instrumental Variable Models" — Arefe Boushehrian, Mohammad Reza Badri, Sina Akbari, Negar Kiyavash

Congratulations to our #UAI2026 Best Paper Award winners! 🏆 1/4

Day 1 at the beautiful KIT Royal Tropical Institute.

@stoyanoj (NYU) leads the Center for Responsible AI and works to make "responsible AI" synonymous with "AI". Her research spans data systems, AI governance, and public policy — advancing accountability alongside innovation.

@LesterMackey (MSR) develops machine learning theory and methods for large-scale, high-impact applications in climate science, healthcare, and social good. MacArthur Fellow and 2025 COPSS Presidents’ Award recipient, with award-winning work across NeurIPS, ICML, and beyond.

Julie Josse (Inria) leads the PreMeDICaL team with Inserm. She works on advances personalized medicine through causal learning and privacy-preserving federated methods to accelerate targeted therapies and decision-support tools with quantified uncertainty.

Ready to bike along the canals? 🚲 The 42nd Conference on Uncertainty in AI will be in Amsterdam, August 17–21! 🇳🇱 CfP here 👉 auai.org/uai2026/call_for_pa… 🚨 Feb 25 deadline 🗣️ Apr 23–May 2 rebuttal 🎉💀 Jun 1 notification #UAI2026 #ML #stats #learning #reasoning #uncertainty #AI

and finally on The 1st Workshop on Safe AI sites.google.com/view/safeai…