Great first day of the 3rd annual CHAIR Structured Learning Workshop @ Chalmers! 🥳 Event page & agenda: ui.ungpd.com/Events/60bfc... 1st day featuring: @betapata.bsky.social @janstuehmer.bsky.social @arnauddoucet.bsky.social @frejohk.bsky.social

🚨 Preprint on LLMs in external environments: Zhongqi (Nick) Yue, a great post-doc in my lab, has led the development of EARL—a new reinforcement learning framework for LLMs to interact with external environments, greatly improving over text-only interaction in reasoning tasks.

Last Friday, Newton Mwai Kinyanjui defended his PhD thesis "Leveraging Structural Priors and Historical Data for Practical Treatment Personalization with Multi-Armed Bandits". It's been a pleasure having you in the lab, Newton! Looking forward to seeing what the next chapter brings!

Last Friday, Newton Mwai Kinyanjui defended his PhD thesis "Leveraging Structural Priors and Historical Data for Practical Treatment Personalization with Multi-Armed Bandits". It's been a pleasure having you in the lab, Newton! Looking forward to seeing the next chapter!

We are delighted to announce the #EurIPS 2025 Workshops 🎉: eurips.cc/workshops/ We received 52 proposals, which were single-blind reviewed by more than 35 expert reviewers, leading to 18 accepted workshops (acceptance rate 34.6%).

This week has been an absolute joy for me as the leader of the Healthy AI Lab! Two of my students, Anton Matsson (3rd from right) and Lena Stempfle (2nd from right), defended their theses and became the first PhD graduates under my supervision 🎉 You will both be sorely missed!

Going to ICML next week? Find Anton and talk to him about our work on prediction models that learn to avoid missing values!

I'm thrilled to share that Lena Stempfle's, Anton Matsson's and Newton Mwai's paper "Prediction models that learn to avoid missing values" was accepted to ICML and awarded a spotlight! Arxiv here: arxiv.org/abs/2505.03393 More below👇

10 days to go to apply for this PhD student position in my lab!

Last but not least: The student will be co-advised by the fantastic @urish.bsky.social!

We are hiring a *PhD student* in my group to work on machine learning generalization "out-of-table". Help build methods that learn from large volumes of tabular data to generate models for new tasks! Apply here: www.chalmers.se/en/about-cha...

Open for work! Unfortunately, I just found out that all funding and grants for my 2025 projects are canceled. Would love the opportunity to continue the musical journey started with #Ultros. Comfortable with #GameMusic #GameAudio. Retweets appreciated linktr.ee/ratvader

I'm currently at NeurIPS eager to talk about the two papers from my group: * Active Preference Learning for Ordering Items In-and Out-of-sample (arxiv.org/abs/2405.03059) * IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark (arxiv.org/abs/2405.16069)

📣 We have a tenure-track faculty opening in Responsible AI at @ethzurich.bsky.social : ethz.ch/en/the-eth-z.... Deadline Nov 30 for full consideration. ETH Zurich is a vibrant environment for AI research with the ETH AI Center etc. Please help spread the word!