UAI 2025
@UncertaintyInAI
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil! We are also here: https://bsky.app/profile/auai.org
The 41st Conference on #Uncertainty in #AI will be held in Rio de Janeiro 🇧🇷, July 21-25! The CfP is out 👉auai.org/uai2025/call_f… 🚨 Feb 10: Paper submission 🗣️ Apr 3-10: rebuttal period 🎉/💀 May 6: Author notification #UAI2025 #ML #stats #learning #reasoning #uncertainty
last two orals on robustness (now posters!) 👉 auai.org/uai2025/schedu…
let's start day 4 with the oral session on optimization! 👉auai.org/uai2025/schedu…
we almost end the day (banquet incoming) with an extremely lively poster session!
last session of orals of the day, this time on safety! 👉 auai.org/uai2025/schedu…
Day 3 continues with the oral presentations about Causality! 👉 auai.org/uai2025/schedu…
we open day 3 with Elias Bareinboim (@eliasbareinboim ) giving a keynote on "Towards Causal Artificial Intelligence" reprising some of the themes of his upcoming book (causalai-book.net)
oral presentations from session 2, on uncertainty auai.org/uai2025/schedu…
presentations from the first oral session on learning auai.org/uai2025/schedu…
First #UAI2025 keynote by Francesca Dominici (@francescadomin8) on """ Uncertainty in AI: Solution or Obstacle for Climate Action? """
✨ our General chair Negar Kiyavash and Program chairs @csilviavr and @saramagliacane kicking off Day 2 ✨
Enjoyed co presenting this tutorial at #uai2025 in Brazil with @liyzhen2! Enjoyed the conference size and location. Also great company, weather, and food.
and "Modern Approximate Inference: Variational Methods and Beyond" by Diana Cai @dianarycai (Flatiron Institute) and Yingzhen Li @liyzhen2 (Imperial College London)
the conference cannot officially start without a proper reception 🍹
and "Modern Approximate Inference: Variational Methods and Beyond" by Diana Cai @dianarycai (Flatiron Institute) and Yingzhen Li @liyzhen2 (Imperial College London)
2) "Causal Inference with Deep Learning and Generative Models" by Murat Kocaoglu (Purdue University) and Md Musfiqur Rahman (Purdue University)
2) "Causal Inference with Deep Learning and Generative Models" by Murat Kocaoglu (Purdue University) and Md Musfiqur Rahman (Purdue University)
we reprise our Day 1 schedule with three amazing tutorials: 1) "Introduction to Bayesian Nonparametric Methods for Causal Inference" by Michael Daniels (U of Florida) and Jason Roy (Rutgers)
we reprise our Day 1 schedule with three amazing tutorials: 1) "Introduction to Bayesian Nonparametric Methods for Causal Inference" by Michael Daniels (U of Florida) and Jason Roy (Rutgers)
time for our mentoring session! where young researchers can ask more experienced ones about how to navigate academia, conferences, work in industry and more! Moderated by Eli Carrami and Isabela Albuquerque (virtual) Panel: Cassio de Campos @sabinasloman @liyzhen2
""" This is the best conference swag I've ever seen! """ YooJung Choi (yoojungchoi.github.io) on the local coffee bag we give each participant
