Alexander Marx

@a-marx.bsky.social

Prof. at TU Dortmund and RC Trust | Chair for Causality | Research on Causality, Machine Learning and Information Theory | Prev. ETH Zรผrich, ETH AI Center, CISPA and MPI for Informatics | Website: https://www.a-marx.com

New papers at #ICML2026 and #ECMLPKDD (ML journal track): While Daniel's paper focussing on skewness-robust estimation in causal discovery got accepted to ICML, Marlies' work on causal inference in the presence of selection bias will be featured in the journal track of this year's ECMLPKDD!

Don't miss your opportunity! ๐Ÿ‘€

ELSA โ€“ European Lighthouse on Secure and Safe AI@elsa-ai.eu ยท 6mo ago

๐—ฃ๐—ผ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฆ๐˜‚๐—ฏ๐—บ๐—ถ๐˜€๐˜€๐—ถ๐—ผ๐—ป ๐——๐—ฒ๐—ฎ๐—ฑ๐—น๐—ถ๐—ป๐—ฒ ๐—ฒ๐˜…๐˜๐—ฒ๐—ป๐—ฑ๐—ฒ๐—ฑ! Submit your #abstract until ๐—™๐—ฒ๐—ฏ๐—ฟ๐˜‚๐—ฎ๐—ฟ๐˜† ๐Ÿฎ๐—ป๐—ฑ and get the chance to present your research at the โ€œ๐—ง๐—ฟ๐˜‚๐˜€๐˜๐˜„๐—ผ๐—ฟ๐˜๐—ต๐˜†๐—”๐—œ๐Ÿฐ๐—›๐—ฒ๐—ฎ๐—น๐˜๐—ต: ๐—ง๐—ผ๐˜„๐—ฎ๐—ฟ๐—ฑ #๐—ง๐—ฟ๐˜‚๐˜€๐˜๐˜„๐—ผ๐—ฟ๐˜๐—ต๐˜† #๐—”๐—œ #๐— ๐—ผ๐—ฑ๐—ฒ๐—น๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ ๐—–๐—ผ๐—บ๐—ฝ๐˜‚๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น #๐—›๐—ฒ๐—ฎ๐—น๐˜๐—ต๐—ฐ๐—ฎ๐—ฟ๐—ฒโ€ workshop on March 9th at @embl.org elsa-ai.eu/elsa-worksho... #ELSAAI #poster

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

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 ...

docs.google.com

It was a great week in Berlin at #DAGStat2025 for our group! TLDR: Marlies presented our poster on recovering causal effects under selection bias (๐Ÿ“œ preprint available), and Daniel received the IBS Bernd-Streitberg-Preis for his Master's thesis ๐Ÿ† ๐ŸŽ‰

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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

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

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

Research Center of Trustworthy Data Science and Security@rctrust.bsky.social ยท 2y ago

Explore the University Alliance Ruhr with a #research visits (June 22nd - July 5th ) for #PhD & #PostDoc candidates. Apply until Feb 16th:๐Ÿ‘‰ research-academy-ruhr.de/programm/res... We will host multiple candidates and offer additional 2-year-PostDoc opportunities!๐ŸŽ‰ ๐Ÿ“ธ by TU Dortmund