Sara Magliacane (she/her) at UAI 2025
@saramagliacane
Assistant prof @AmlabUvA Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair | @smaglia.bsky.social
#UAI2025 is about to start in Rio de Janeiro 🇧🇷 in Copacabana ⛱️🌊🩴 If you're curious about the program, you can check it out here: auai.org/uai2025/ @UncertaintyInAI
let's start day 4 with the oral session on optimization! 👉auai.org/uai2025/schedu…
last two orals on robustness (now posters!) 👉 auai.org/uai2025/schedu…
Randomized trials (RCTs) help evaluate if deploying AI/ML systems actually improves outcomes (e.g., increases survival rates in a healthcare context) But AI/ML models can change: Do we need a new RCT every time we update the model? Not necessarily, as we show in our UAI paper!
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…
First #UAI2025 keynote by Francesca Dominici (@francescadomin8) on """ Uncertainty in AI: Solution or Obstacle for Climate Action? """
presentations from the first oral session on learning auai.org/uai2025/schedu…
✨ 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)
@dianarycai and yours truly☺️presented selected topics re approximate inference as a #UAI2025 tutorial. Slides: tinyurl.com/uai2025-approx… (we also enjoyed Brazilian🇧🇷 Picanha steaks 🥩 together 😋
Enjoyed co presenting this tutorial at #uai2025 in Brazil with @liyzhen2! Enjoyed the conference size and location. Also great company, weather, and food.
I am attending #UAI2025 in Rio with one poster on hypothesis testing. Please come and discuss with us if you also attend the conference! @xunyet @ArthurGretton 📍 Foyer, Room Copacabana A, Room Mar Azul (Wed 23rd Jul 16:00 pm — 18:30 pm) @UncertaintyInAI 📑 A Unified Data…
Welcome to Rio 🇧🇷! While we start, enjoy the sun, our local coffee swag ☕ and our upcoming five tutorials for the day (auai.org/uai2025/tutori…) 💙 stay tuned!
the conference cannot officially start without a proper reception 🍹
What a fantastic audience! Thank you for the opportunity.
2) "Causal Inference with Deep Learning and Generative Models" by Murat Kocaoglu (Purdue University) and Md Musfiqur Rahman (Purdue University)
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)