We're kicking off the day with our first talk by @riccardocadeii on Artificial Causal Inference in Scientific Experiments.
Come learn how AI helps us figure out cause and effect, especially when observing the complex world of ants!
#NeurIPS2025 Upper Level Meeting Room 8
Got a great causality-related idea?
🇧🇷 Don’t miss the chance to present your work in Rio for the CAR Workshop at #uai2025!
🔥 We welcome works in causal abstraction, representation learning, clustered graphs, and more!
🗓️ Deadline: May 26, 2025
#ICML 2025 here we come!
**Causal Abstraction Learning based on the Semantic Embedding Principle**
Stay tuned for the camera-ready version (spoiler: new results are on the way!)
@FMZennaro, Yorgos Felekis and Paolo Di Lorenzo (not on X).
#causal#ML
Call for Papers – CAR Workshop @UncertaintyInAI in Rio de Janeiro, Brazil 🇧🇷 #uai2025
Are you pushing the boundaries of causal abstractions, causal representation learning, or clustered causal graphs? Submit to CAR 2025!
Deadline: May 26, 2025
https://t.co/XiacBV8kLq
Interested in Causality and its many applications? Don't forget to register for #CLeaR2025, the 4th Conference on Causal Learning and Reasoning, conference May 7-9 in Lausanne, Switzerland! ✅Register ASAP by Mar 31 to enjoy the early-bird discount: https://t.co/lOiIQuPvYA
Welcome all researchers and industry partners to join us in the 4th Conference on CLeaR (Causal Learning and Reasoning)! Check out the early-bird registration now and also the venue information in Lausanne, Switzerland.
Interested in mappings between causal models? Check out our new work: *"Causal Abstraction Learning based on the Semantic Embedding Principle"*
Amazing collaboration with @FMZennaro , Yorgos Felekis, and Paolo Di Lorenzo (not on X)
https://t.co/ZwhohH2X4z
New work on causal abstraction by Willem Schooltink: looking at how graphical abstraction and functional abstraction are related! https://t.co/ygNuEvfLS0
The 41st Conference on #Uncertainty in #AI will be held in Rio de Janeiro 🇧🇷, July 21-25!
The CfP is out 👉https://t.co/bFnMjEGWDe
🚨 Feb 10: Paper submission
🗣️ Apr 3-10: rebuttal period
🎉/💀 May 6: Author notification
#UAI2025#ML#stats#learning#reasoning#uncertainty
More #NeurIPS papers. This time from Theo Damoulas and collaborators. "Physics-Informed Variational State-Space Gaussian Processes" with Oliver Hamelijnck (Warwick) and Arno Solin. https://t.co/eOi2oXWtxu
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Warwick PhD wins international award
Jeremias Knoblauch has been awarded the 2023 Savage Award of the International Society for Bayesian Analysis for his Warwick PhD thesis “Optimization-centric Generalizations of Bayesian Inference” supervised by Theo Damoulas.
We are thrilled to announce the 4th Conference on Causal Learning and Reasoning (CLeaR), taking place in Lausanne, Switzerland, from May 7-9, 2025!
Submission deadline: Nov 2, 2024, 11:59 PM AoE. For details, visit https://t.co/eyzQQsBopt 😀😎
I am thrilled to share that ‘Learning Multi-Frequency Partial Correlation Graphs’ has just been published through @IEEEXplore in IEEE TSP. Thanks to my super co-authors Paolo Di Lorenzo, @FrancescoBonchi, Stefania Sardellitti, and Sergio Barbarossa.
https://t.co/Ckt3H7j3sj
I am attending ISBA 2024 @ISBA_events@j_ISBA ;
If you want to chat about estimating expectations that have intractable normalizing constants, with Monte Carlo, when it is efficient and when not, come to my poster on Friday.
New exciting PhD position on causality, causal abstraction and reinforcement learning @UiB Norway! Get in touch for more details or check out: https://t.co/tfWNGKMZG3