Alexander Marx

I am excited to share that I am looking for a #postdoc with an interest in causal machine learning to join my lab at TU Dortmund University and RC Trust. #hiring #causality #ML #AI

📅 03.12.25
Group: rc-trust.ai/groups/causa...
Details: tinyurl.com/4622p6at

Seeking a Research Scientist or Postdoctoral Researcher at Causal Inference Team (25-1581)

www.riken.jp/en/careers/r...

UCL – University College London UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).

Research Fellow position open at @gatsbyucl.bsky.social
to work with me and Jason Hartford on Causality in Biological Systems!

Apply at link, deadline is 27 August:
www.ucl.ac.uk/work-at-ucl/...

🫀 Our hearts might echo each other more than we think.

@roydongoldsack.bsky.social from @vicuniwgtn.bsky.social is visiting the Causality Group at RC Trust, invited by Alexander Marx (@a-marx.bsky.social), Chair of Causality group and Professor of Statistics.

🔗 rc-trust.ai/news/news-de...

EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅

EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu

eurips.cc

NeurIPS participation in Europe We seek to understand if there is interest in being able to attend NeurIPS in Europe, i.e. without travelling to San Diego, US. In the following, assume that it is possible to present accepted papers ...

Would you present your next NeurIPS paper in Europe instead of traveling to San Diego (US) if this was an option? Søren Hauberg (DTU) and I would love to hear the answer through this poll: (1/6)

🏆 Daniel Klippert received the IBS Bernd-Streitberg-Preis for his Master's thesis titled "An Analysis of Causal Inference Methods for Competing Risks" that he conducted in the lab of Markus Pauly.

Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding We consider the problem of estimating the expected causal effect $E[Y|do(X)]$ for a target variable $Y$ when treatment $X$ is set by intervention, focusing on continuous random variables. In settings ...

📜 Marlies Hafer presented our poster titled "Regression-based Estimation of Causal Effects under Selection Bias and Confounding", for which the preprint is available at arxiv.org/abs/2503.20546.

It was a great week in Berlin at #DAGStat2025 for our group! TLDR: Marlies presented our poster on recovering causal effects under selection bias (📜 preprint available), and Daniel received the IBS Bernd-Streitberg-Preis for his Master's thesis 🏆 🎉

Congrats Osman!

From February 6 to 7, Prof. Alexander Marx visited the LMU in Munich for an invited talk on “Causal Discovery: What can we learn from heterogeneous noise?”.
Thank you to the welcoming host Prof. Stefan Feuerriegel, the Director of the Institute for AI in Management!

📸photo by Alexander Marx

TU-Team ermittelt Fehleranfälligkeit von KI-Wahlhilfen Wahlhilfe-Tools, die auf Künstlicher Intelligenz basieren, bieten neue Möglichkeiten, sich interaktiv über die Wahlprogramme der Parteien zu informieren. Doch nach Untersuchungen Forschender der TU Do...

Am Sonntag ist #Bundestagswahl. Erstmals gibt es auch zwei KI-Tools, mit denen sich Nutzende in Chat-Form über die aktuellen Wahlprogramme informieren können. TU-Forschende und @rctrust.bsky.social haben sie getestet und ermittelt, wie fehleranfällig sie sind. www.tu-dortmund.de/detail/team-...

If you are interested to learn more about pointwise information profiles and our main invariance result, I strongly recommend the blog post to this aspect of our paper by Paweł Czyż (pawel-czyz.github.io/posts/invari...).
📄 openreview.net/forum?id=Ldf...

https://openreview.net/forum?id=LdflD41Gn8

In our previous paper on benchmarking #MutualInformation estimators, we focus on going "beyond normal" distributions. However, it turns out that we can do much more, as we show in our new TMLR paper: "On the Properties and Estimation of Pointwise Mutual Information Profiles" 1/2

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

Excited about AI and interdisciplinary research? Join the fully funded RC-Trust Internship Program!

📍 Ruhr Area
💼 Open to Bachelor, Master, PhD & industry professionals
📅 Summer deadline: Dec 31, 2024

All information on our website: rc-trust.ai/career/inter...

There the picture is not reformatted by Bluesky...

If you are interested in diabetes research and attend the ML4H Symposium 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

What's a better way to say "Hello" to Bluesky than with our 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/causa...

Congrats Osman! This sounds like a very exciting combination.