🚨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...

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...

academictransfer.com

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

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

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

Sara Magliacane hiring PhDs at UvA@smaglia.bsky.social · last yr.

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...

🔥 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/

CAR

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

sites.google.com

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.

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...

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!

werkenbij.uva.nl

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!

Mátyás Schubert@matyasch.bsky.social · last yr.

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

⏰ 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!

Mátyás Schubert@matyasch.bsky.social · last yr.

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

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

Causal Club@handle.invalid · last yr.

Here's a talk you can't miss! 🔨 Next Friday, @matyasch.bsky.social will discuss how to efficiently estimate causal effects on large unknown graphs. 🤌 See you in Pisa on March 7 at 15:00 (CET) or live at meet.google.com/cqt-ufji-xfz 🗓️ Click here to add it to your calendar: tinyurl.com/snapcausclub

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

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 🔥

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

ELLIS@ellis.eu · 2y ago

🎉 Congratulations to our newly accepted ELLIS Fellows & Scholars in 2024! Top researchers in #MachineLearning join the network to advance science & mentor the next generation. #ELLISforEurope #AI 🌍 Know someone on the list? bit.ly/3ZJd9Cz Tag them in a reply with congratulations.

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

ELLIS unit Amsterdam@ellisamsterdam.bsky.social · 2y ago

📢 The next Amsterdam Causality Meeting supported by the #ELLISunitAmsterdam will take place on Wednesday! 📅 December 4th ⏰ 14.30-17.30 📍 Lab 42 in L3.36 🔗 amscausality.github.io/upcoming/ Come and join us! 🚀✨