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Reposted by Mátyás Schubert

Sara Magliacane hiring PhDs at UvA @smaglia.bsky.social · 13/03/2026

🚨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...

academictransfer.com

2 PhD Positions on Learning Causally Grounded Concepts for Safe AI

Are you interested in improving the interpretability, robustness and safety of AI by integrating causal reasoning? The Causality team in the AMLab group at the University of Amsterdam is looking for 2...

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Mátyás Schubert @matyasch.bsky.social · 23/10/2025

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

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Reposted by Mátyás Schubert

arxiv.stat.ME @arxiv-stat-me.bsky.social · 26/08/2025

Carlos Cinelli, Avi Feller, Guido Imbens, Edward Kennedy, Sara Magliacane, Jose Zubizarreta Challenges in Statistics: A Dozen Challenges in Causality and Causal Inference arxiv.org/abs/2508.17099

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Reposted by Mátyás Schubert

Sara Magliacane hiring PhDs at UvA @smaglia.bsky.social · 26/05/2025

Are you interested in improving the #interpretability, #robustness and #safety of current AI systems with #causality and #RL? Apply to our PhD position in Amsterdam 🚲🌷🇳🇱 Deadline: June 15

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Reposted by Mátyás Schubert

riccardo @rmassidda.it · 19/05/2025

🔥 Got a great work on causal representation learning, abstraction, high-dimensional discovery, or other hot topics in causality? 🇧🇷 Don’t miss your chance to present in Rio at the CAR Workshop at #UAI2025! ⏰ Deadline is in 1 week – May 26! 🌐 sites.google.com/view/car-25/

sites.google.com

CAR

Causal Abstractions and RepresentationsWorkshop @ UAI 2025July 25th 2025, Rio de Janeiro 🇧🇷

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Mátyás Schubert @matyasch.bsky.social · 13/05/2025

A little over a week ago, I had the chance to attend #AISTATS and present our poster on SNAP (matyasch.github.io/snap)! Three days of brilliant invited talks and a stream of fascinating papers left me with a much longer reading list about ideas to explore.

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Reposted by Mátyás Schubert

Sara Magliacane hiring PhDs at UvA @smaglia.bsky.social · 12/05/2025

New PhD position at the University of Amsterdam in @amlab.bsky.social on learning concepts with theoretical guarantees using #causality and #RL with me, Frans Oliehoek (TU Delft) and Herke van Hoof 💥 Deadline: 15 June werkenbij.uva.nl/en/vacancies...

werkenbij.uva.nl

Vacancy — PhD Position on Learning Concepts with Theoretical Guarantees Using Causality and RL

Are you interested in improving the interpretability, robustness and safety of current AI systems? If the answer is yes, please continue reading!

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Mátyás Schubert @matyasch.bsky.social · 02/05/2025

Just arrived in Phuket for #AISTATS2025. Can't wait to present our poster (in tube) about SNAP 🫰 on day 2, Sunday! Come check it out and let's chat about scalable causal discovery!

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Reposted by Mátyás Schubert

Causal Club @handle.invalid · 07/03/2025

⏰ Don't miss Mátyás talk today at 3PM! 🎥 See you online meet.google.com/cqt-ufji-xfz 🤌 ...or live in the CS Department of the University of Pisa!

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Mátyás Schubert @matyasch.bsky.social · 04/03/2025

A few weeks ago, I presented SNAP at the wonderful #Bellairs Workshop on Causality in Barbados🐢 This Friday 🫰meets 🤌 as I will get to present SNAP again at the kick-off of the newest season of @causalclub.di.unipi.it! Check out this, and their other amazing upcoming talks at causalclub.di.unipi.it

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Mátyás Schubert @matyasch.bsky.social · 13/02/2025

Do you want to estimate causal effects for a small set of target variables without knowing the causal graph, but discovering it takes too long? Now you can get adjustment sets in a SNAP🫰accepted at #aistats2025! 📜 arxiv.org/abs/2502.07857 🧩 matyasch.github.io/snap/ 🧵 1/10

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Reposted by Mátyás Schubert

AMLab @amlab.bsky.social · 13/12/2024

Professor Imbens also had a mentoring session with our PhD students actively working on causality, discussing their ideas and the potential impact of their applications! 👨‍🔬👩‍🔬 @matyasch.bsky.social @roelhulsman.bsky.social @rmassidda.it @danruxu.bsky.social 🔥

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Reposted by Mátyás Schubert

AMLab @amlab.bsky.social · 09/12/2024

Congrats to @smaglia.bsky.social for now being an ELLIS Scholar! 🤩🥳🎉

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Reposted by Mátyás Schubert

riccardo @rmassidda.it · 03/12/2024

if you ever wondered how to concisely represent causal models, don’t miss my talk on causal abstraction tomorrow at @ellisamsterdam.bsky.social

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