Chair of Statistical Learning and Data Science at the LMU Munich
@slds-lmu.bsky.social
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📥 19
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https://www.slds.stat.uni-muenchen.de
reposted by
Chair of Statistical Learning and Data Science at the LMU Munich
Matthias Feurer
3 months ago
Check out
openml.org
and also join the OpenML Slack to learn about latest developments and upcoming workshops:
openml.slack.com/join/shared_...
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OpenML
OpenML is an open platform for sharing datasets, algorithms, and experiments - to learn how to learn better, together.
https://openml.org
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reposted by
Chair of Statistical Learning and Data Science at the LMU Munich
Matthias Feurer
3 months ago
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
3 months ago
Online Now: OpenML: Insights from 10 years and more than a thousand papers
#datascience
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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.
http://dlvr.it/TLjfSP
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reposted by
Chair of Statistical Learning and Data Science at the LMU Munich
Matthias Feurer
3 months ago
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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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 🙂
3 months ago
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reposted by
Chair of Statistical Learning and Data Science at the LMU Munich
Janet Liu
4 months ago
🛎️ 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
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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
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https://mcml.ai/news/2025-03-27-research-insight-ewald/@fionaewald.bsky.social
4 months ago
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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/...
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AutoML Seminar
Website for the AutoML seminars
https://automl-seminars.github.io
7 months ago
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reposted by
Chair of Statistical Learning and Data Science at the LMU Munich
Giuseppe Casalicchio
7 months ago
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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