Alexander Marx | a-marx.bsky.social

I'm thrilled to share that I'll be joining @RCTrustworthy at @TU_Dortmund to start a research group on Causality this summer! 📢Looking for #PhD students (link attached)! Feel free to reach out via email or dm #PhDposition #Causality #MachineLearning

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/causali… Details: tinyurl.com/4622p6at

@osmanmian Congrats Osman!

Life update: I successfully defended my Ph.D. last week and soon I will be able to introduce myself like James Bond. (I've always wanted to do this... 😅)

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/invarian…). 📜 openreview.net/forum?id=LdflD… 2/2

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.

If you are interested in diabetes research and attend the ML4H Symposium (@SymposiumML4H) check out @AlainRyser's spotlight talk on "Transfer Learning for Pediatric Glucose Forecasting" or attend our poster🧐 #T1DM #TransferLearning 🗓️15.12.24 16:30

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…

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…

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

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

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

🚨 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 🙏

@osmanmian Congrats Osman!

Thesis finished and submitted. This is a surreal feeling. #CausalDiscovery #PhD #CISPA

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…

Wie können #KI-Modelle kausale Netzwerke in Beobachtungsdaten erkennen und abbilden? Das ist eine Forschungsfrage von @dr_amarx, dem neuen Professor für #Causality am @RCTrustworthy von @TU_Dortmund @ruhrunibochum @unidue. Willkommen in der #uniallianz: uaruhr.de/news/2024/news…

I am not at #ICLR2024 but @mirco_mutti and @desariky will present our work (w/ @dr_amarx) 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 🔥

Our #ICLR2024 paper (w/ @desariky @dr_amarx @gio_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'm thrilled to share that I'll be joining @RCTrustworthy at @TU_Dortmund to start a research group on Causality this summer! 📢Looking for #PhD students (link attached)! Feel free to reach out via email or dm #PhDposition #Causality #MachineLearning

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