🛠️ The #uai2026 workshop lineup is out! Check out the full list of accepted workshops 👉auai.org/uai2026/workshops Don't forget to register and see you in Amsterdam 🇳🇱 on August 21!

📣 Registration for #uai2026 is now open! Join us in Amsterdam 🇳🇱 this August 17-21 for cutting-edge research on uncertainty in AI. early-bird rates available 🐦 students welcome 🎓 Secure your spot 👉 auai.org/uai2026/registration

11 more days to apply to these positions! Come join us in Amsterdam to work on #causality #XAI and #AI #safety

Don't miss the call for tutorials at #UAI2026! Submissions are open until April 30th. 👉 www.auai.org/uai2026/call...

🚨2 PhD positions with me @amlab.bsky.social on learning causally grounded concepts 🚨 Are you interested in improving the #interpretability #robustness and #safety of AI by integrating #causal reasoning? Join us in beautiful Amsterdam 🇳🇱🌷🚲 Deadline: 20 April www.academictransfer.com/en/jobs/3593...

🧑‍🏫 Don't miss the chance to discuss or showcase your research field to the UAI audience. 🚨 Call for workshops and call for tutorials are out! 👉 www.auai.org/uai2026/call... 👉 www.auai.org/uai2026/call...

🎉 We’re excited to announce the Keynote Speakers for #UAI2026 — three researchers shaping the future of causal learning, large-scale ML, and responsible AI. 👇

🚨 Just over a week to go! Submissions close on February 25. ✨ There's still time to submit: but don't miss it! 👉 auai.org/uai2026/call...

I am excited to announce our Workshop on Causality in the Age of AI Scaling in AISTATS 2026! - Is scaling sufficient for intelligent systems? - Can causal abilities emerge from scale? - What can causal modeling bring that scale cannot? causcale.github.io Submission deadline is February 27th.

With ICML submissions behind us, we invite your latest work to be submitted to the Workshop on Unifying Concept Representation Learning (UCRL) at ICLR 2026. 📅 Deadline (extended!): Feb 3, 2026 (23:59 AOE) 🔗 ucrl-iclr26.github.io

Best conference with the best people and in the best place 😎 😜 Also the submission deadline is conveniently one month later than #ICML2026, just in case you needed it 😅

Submissions are now open for UAI 2026 in Amsterdam. Deadline is February 25th, 2026 (23:59 AoE). Call for papers here: www.auai.org/uai2026/call...

Just two weeks until the deadline of our @iclr-conf.bsky.social workshop on the intersection of #XAI, #causality and #NeSy 💥💥💥 More details here ucrl-iclr26.github.io/call-for-pap...

What’s going on behind the scenes of #UAI2026? 👀 Meet the wonderful people working hard for this year’s edition ❤️ 👉 www.auai.org/uai2026/orga...

Get your OpenReview account ready: submissions open in two weeks! 📝 📅 Submissions open: Jan 25, 2026 🚨 Submission deadline: Feb 25, 2026 See you in Amsterdam! 🇳🇱🚲 👉 auai.org/uai2026/call... #UAI2026 #ML #Statistics #Learning #Reasoning #Uncertainty #AI

#XAI, #neurosymbolic methods #nesy and #causal #representation #learning #CRL all care about learning #interpretable #concepts, but in different ways. We are organizing this #ICLR2026 workshop to bring these three communities together and learn from each other 🦾🔥💥 Submission deadline: 30 Jan 2026

#XAI, #neurosymbolic methods #nesy and #causal #representation #learning #CRL all care about learning #interpretable #concepts, but in different ways. We are organizing this #ICLR2026 workshop to bring these three communities together and learn from each other 🦾🔥💥 Submission deadline: 30 Jan 2026

hardcore uncertainty ftw! (UAI is the best conference!)

A fantastic opportunity to join us in #Amsterdam for some hardcore #uncertainty in #AI 🦾🚲🌷✖️✖️✖️ #causality #tractable #probabilistic #models #neurosymbolic #imprecise #probabilities #statistical #methods and more

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

Estimating causal effects efficiently doesn’t have to mean discovering the entire causal graph! Now you can find the optimal adjustment from only local information using LOAD! 📜 Preprint: arxiv.org/abs/2510.14582 👾 Code: github.com/Matyasch/load 🧵 1/8

Interesting new paper on “A Dozen Challenges in Causality and Causal Inference.” After 30+ years of progress in causal inference, the authors lay out the biggest challenges in current research. Good teaching resource! @guidoimbens.bsky.social @smaglia.bsky.social arxiv.org/pdf/2508.170...

New paper in @annalsofim.bsky.social "50 ways to misinterpret clinical prediction models for treatment decisions” --> Published version: www.acpjournals.org/doi/10.7326/... --> Open access version: arxiv.org/pdf/2402.17366

and finally on The 1st Workshop on Safe AI sites.google.com/view/safeai2...

then on The Workshop on Causal Abstractions and Representations #CAR25 sites.google.com/view/car-25/

memories from the last day of #UAI2025: the 8th Workshop on Tractable Probabilistic Modeling #TPM2025 tractable-probabilistic-modeling.github.io/tpm2025/

Grateful to the tutorial chairs @urish.bsky.social and @sineadwilliamson.bsky.social for the opportunity, and big thanks to the PC chairs @smaglia.bsky.social and @csilviavr.bsky.social for being on the ground and making UAI 2025 such a unique experience!

a huge thanks to @rmassidda.it who not only flawlessly managed to update the #UAI2025 website, but also wrote an amazing pipeline (with docker!) from scratch to do so. All future publicity chairs will own Riccardo!

The faces behind the @auai.org PR machine and cameras: @nolovedeeplearning.bsky.social @rmassidda.it

and to @leanderk.bsky.social @paolomorettin.bsky.social Roberto Sebastiani, @andreapasserini.bsky.social @nolovedeeplearning.bsky.social for the ✨Best Student Paper Runner Up Award✨ for "A Probabilistic Neurosymbolic Layer for Algebraic Constraint Satisfaction" 👉 openreview.net/forum?id=9Uk...

congratulations to Paula Cordero Encinar, Francesca Romana Crucinio and O. Deniz Akyildiz (@odakyildiz.bsky.social‬) for winning the 🏆 Best Student Paper Award 🏆 at #UAI2025 with "Proximal Interacting Particle Langevin Algorithms" 👉 openreview.net/forum?id=rTq...

congratulations to Frédéric Koriche, Jean-Marie Lagniez and Chi Tran for winning the 🏆 Best Paper Award 🏆 at #UAI2025 for "Probabilistic Explanations for Regression Models" 👉 openreview.net/forum?id=ipn...

Last talk of the day for TPM! @auai.org #TPM2025

let's start day 4 with the oral session on optimization! 👉 www.auai.org/uai2025/sche...

last two orals on robustness (now posters!) 👉 www.auai.org/uai2025/sche...

we almost end the day (banquet incoming) with an extremely lively poster session!

last session of orals of the day, this time on safety! 👉 www.auai.org/uai2025/sche...

Day 3 continues with the oral presentations about Causality! 👉 www.auai.org/uai2025/sche...

we open day 3 with Elias Bareinboim (causalai.net) giving a keynote on "Towards Causal Artificial Intelligence" reprising some of the themes of his upcoming book (causalai-book.net)

poster session going strong 💪

oral presentations from session 2, on uncertainty www.auai.org/uai2025/sche...

presentations from the oral session #1 on learning www.auai.org/uai2025/sche...

oral sessions are on! 🎉 get the schedule of all talks and posters sessions at www.auai.org/uai2025/sche...

First #UAI2025 keynote by Francesca Dominici (hsph.harvard.edu/profile/fran...) on """ Uncertainty in AI: Solution or Obstacle for Climate Action? """

✨ our General chair Negar Kiyavash and Program chairs @csilviavr.bsky.social and @smaglia.bsky.social kicking off Day 2 ✨

a big thanks to our sponsors! Huawei, Google, AI journal, DE Shaw & co and ‪@cnpq-oficial.bsky.social‬ and to our chairs @smaglia.bsky.social @csilviavr.bsky.social and Daniel Ratton Figueiredo

the conference cannot officially start without a proper reception 🍹

and "Modern Approximate Inference: Variational Methods and Beyond" by Diana Cai (Flatiron Institute) and Yingzhen Li (Imperial College London)

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)