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Chair of Statistical Learning and Data Science at the LMU Munich @slds-lmu.bsky.social · 8d

Today is also @matthiasfeurer.bsky.social last day in our group and you can read about his work with us and his new position in a recent interview: bsky.app/profile/muni...

We're looking forward to many great collaborations with him and his new group in the future!

Munich Center for Machine Learning @munichcenterml.bsky.social · 12d

Matthias Feurer, Thomas Bayes Fellow at #MCML & interim prof at #LMU, builds tools to make ML easier for scientists & more efficient for experts. Next semester he starts as junior prof at TU Dortmund—sharing in our interview how the fellowship helped him get there: mcml.ai/news/2025-09...

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Chair of Statistical Learning and Data Science at the LMU Munich @slds-lmu.bsky.social · 8d

🎉 We're excited to share that our paper “Overtuning in Hyperparameter Optimization” (by Lennart Schneider, Bernd Bischl and @matthiasfeurer.bsky.social ) won the Best Paper Award at the 4th @automl-conf.bsky.social ! 🏆

CC @munichcenterml.bsky.social @lmumuenchen.bsky.social

AutoML Conference @automl-conf.bsky.social · Sep 8

Best paper award!!! Congrats to the authors, super deserved! 🏆

Check it out here: arxiv.org/pdf/2506.19540

#AutoML25 #AutoMLconf

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Reposted by Chair of Statistical Learning and Data Science at the LMU Munich

Matthias Feurer @matthiasfeurer.bsky.social · Jul 7

Check out openml.org and also join the OpenML Slack to learn about latest developments and upcoming workshops: openml.slack.com/join/shared_... 4/4

OpenML

OpenML is an open platform for sharing datasets, algorithms, and experiments - to learn how to learn better, together.

openml.org

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Reposted by Chair of Statistical Learning and Data Science at the LMU Munich

Matthias Feurer @matthiasfeurer.bsky.social · Jul 7

Joaquin Vanschoren, Jos van der Welde and Marcel Wever. 3/4

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Reposted by Chair of Statistical Learning and Data Science at the LMU Munich

Patterns, a Cell Press journal @cp-patterns.bsky.social · Jul 3

Online Now: OpenML: Insights from 10 years and more than a thousand papers #datascience

OpenML: Insights from 10 years and more than a thousand papers

The authors reflect on 10 years of OpenML, the open-source platform that turns machine-learning experiments into open, linked, and reusable knowledge. They present the current state of the OpenML ecosystem and its design and assess how community-curated datasets, tasks, and benchmark suites have powered more than 1,500 studies, advanced machine-learning research, and improved reproducibility. Lastly, they share lessons from a decade of building, maintaining, and expanding OpenML to guide the future of open-science infrastructure for machine learning.

dlvr.it

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Reposted by Chair of Statistical Learning and Data Science at the LMU Munich

Matthias Feurer @matthiasfeurer.bsky.social · Jul 7

with @slds-lmu.bsky.social, @giuseppe88.bsky.social, @tan-iya.bsky.social, myself, Sebastian Fischer, Pieter Gijsbers, Subhaditya Mukherjee, Andreas C. Müller, László Németh, @luisoala.bsky.social, @lennartpurucker.bsky.social, @sahithya.bsky.social, Jan N. van Rijn, @prabhant.bsky.social 2/4

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Chair of Statistical Learning and Data Science at the LMU Munich @slds-lmu.bsky.social · Jul 4

Last week, @assenmacher.bsky.social (Postdoc at SLDS; leading the NLP focus group) received the Teaching Award for Junior Lecturers 2025 from the Business Administration Student Council WASTI. Great to see that the effort we as a chair put into teaching is rewarded in such a nice way 🙂

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Reposted by Chair of Statistical Learning and Data Science at the LMU Munich

Janet Liu @janetlauyeung.bsky.social · May 16

🛎️ Excited to announce the 1st Workshop on Bridging NLP and Public Opinion Research at COLM 2025, Oct 10th in Montreal 🇨🇦

As LLMs reshape public discourse and research, collaboration between NLP and Public Opinion Research (POR) is more vital than ever #NLPOR Submit by June 23📄

🔗 tinyurl.com/nlpor25

Welcome to the First Workshop on Bridging NLP and Public Opinion Research, co-located with COLM 2025, October 10, 2025, Montreal, Canada.

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Chair of Statistical Learning and Data Science at the LMU Munich @slds-lmu.bsky.social · May 12

Feature importance measures can clarify or mislead. PFI, LOCO, and SAGE each answer a different question.
Understand how to pick the right tool and avoid spurious conclusions: mcml.ai/news/2025-03...
@fionaewald.bsky.social @ludwig-bothmann.bsky.social @giuseppe88.bsky.social @gunnark.bsky.social

mcml.ai

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Chair of Statistical Learning and Data Science at the LMU Munich @slds-lmu.bsky.social · Mar 17

The video recording is now available at Youtube: www.youtube.com/watch?v=b_NZ...

Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization

YouTube video by AutoML Seminars

www.youtube.com

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Chair of Statistical Learning and Data Science at the LMU Munich @slds-lmu.bsky.social · Mar 12

We're excited to contribute to the 5th AutoML School, co-organized by our own @matthiasfeurer.bsky.social . Bernd Bischl will deliver a tutorial on Bayesian optimization, and we're looking forward to meet many fellow AutoML and ML researchers in Tübingen.

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Chair of Statistical Learning and Data Science at the LMU Munich @slds-lmu.bsky.social · Feb 26

Join Lennart Schneider tomorrow for a presentation of our recent #NeurIPS publication "Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization" at the #AutoML seminar at 3PM CET.

Link: automl-seminars.github.io
Paper: proceedings.neurips.cc/paper_files/...

AutoML Seminar

Website for the AutoML seminars

automl-seminars.github.io

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Reposted by Chair of Statistical Learning and Data Science at the LMU Munich

Giuseppe Casalicchio @giuseppe88.bsky.social · Feb 11

Excited to share that our #ICLR paper, “Efficient & Accurate Explanation Estimation with Distribution Compression” made the top 5.1% of submissions at #ICLR and was selected as a Spotlight! Congrats to the first author @hbaniecki.com #xAI #interpretableML

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