🚨The Amsterdam Machine learning group UvA AMLab is hiring 2 PhDs on #AI4Fintech in collaboration with Adyen 🚨 - 1 PhD on #causalML with Sara Magliacane (she/her) - hiring 2 PhD students - 1 PhD on #RL with Herke van Hoof Deadline: **11 March 2024** Details: vacatures.uva.nl/UvA/job/2-PhD-…

A final call for this exciting postdoc position @CISPA . One day left until the deadline.

Poster 155, Room 301. See you at 15:30! 😄 Joint work with Sarah Mameche and Jilles Vreeken at AAAI

The call for this position is now public. This will be jointly supervised with Prof. Amir Yehudayoff at DIKU - Department of Computer Science, UCPH , Prof. Varun Kanade Oxford Comp Sci (including a stay in Oxford for 3-6 months), and myself. candidate.hr-manager.net/ApplicationIni… RTs appreciated

Our #ICLR2024 paper (w/ Riccardo De Santi Alexander Marx | a-marx.bsky.social Giorgia Ramponi) shows how to do posterior sampling in RL starting from a prior specified through a partial causal graph ➡️ more edges means better statistical efficiency. You can see the paper below or in Wien! arxiv.org/abs/2310.07518

I am not at #ICLR2024 but Mirco Mutti and Riccardo De Santi will present our work (w/ Alexander Marx | a-marx.bsky.social) tomorrow at 16:30! We show how to do posterior sampling in RL starting from a prior specified through a partial causal graph ➡️ more edges mean better statistical efficiency 🔥

Wie können #KI-Modelle kausale Netzwerke in Beobachtungsdaten erkennen und abbilden? Das ist eine Forschungsfrage von Alexander Marx | a-marx.bsky.social, dem neuen Professor für #Causality am @RCTrustworthy von TU Dortmund Ruhr-Universität Bochum Uni Duisburg-Essen @unidue.bsky.social. Willkommen in der #uniallianz: uaruhr.de/news/2024/news…

I'm on my way to Vienna to attend #AABI and #ICML2024! Ping me if you want to have a chat :) 🧐 I also have an open #PhDPosition in the area of #causality/causal machine learning. Please reach out via DM/email if you think that you could be a good fit! 🔗rc-trust.ai/groups/causali…

🚨 A postdoc position in rational machine learning in our group @CISPA. If you want to collaborate with us to create more rational, efficient, and reliable machine learning systems, don't hesitate to reach out. 📄 tinyurl.com/2jksdehr RT Appreciated 🙏

The #ETHAICenter application is now open! Interested in doing research on interdisciplinary AI topics? Join our Fellowship programs: APPLY by 19 November 2024: ai.ethz.ch/apply #PhD #PhDProgram #MachineLearning #AI #BigData #DataScience #DeepLearning #PostDoc

As many fellow researchers, I’ve decided to gradually transition to the other platform🦋 You can find me at a-marx.bsky.social

Join us at RC Trust! The deadline is December 20th.

Check out our work on „Causal Discovery on Event Sequences by Local Cause-Effect Attribution“ on top of Whistler Mountain today, or, alternatively, Wednesday at 4:30pm in the West Hall #5104. Paper: eda.rg.cispa.io/prj/cascade/ Poster+Video: neurips.cc/virtual/2024/p…

As the group grows, it was time for the first group photo 📸. Last week, we had a small Christmas celebration and took the picture in front of Dortmund's famous Christmas tree (tallest in Europe?)🎄 Curious about the #Causality group and our research? 🔗rc-trust.ai/groups/causali…

If you are interested in diabetes research and attend the ML4H Symposium (ML4H) check out Alain Ryser's spotlight talk on "Transfer Learning for Pediatric Glucose Forecasting" or attend our poster🧐 #T1DM #TransferLearning 🗓️15.12.24 16:30

Great program! I am also available as a potential host if you would like to explore the research area of #causality.