SLDS / Bernd Bischl

🚀 Our paper proposing a new paradigm for more efficient estimation of machine learning explanations is accepted at #ICLR2025! This is joint work with @GiuCasalicchio, @BBischl & @PrzeBiec, to be presented in Singapore 🇸🇬 👇1/5

Our #ICLR paper, “Efficient & Accurate Explanation Estimation with Distribution Compression” made the top 5.1% of submissions and was selected as a Spotlight! Congrats to the first author @hbaniecki #xAI #interpretableML Paper: arxiv.org/abs/2406.18334

MCML has 26 papers at NeurIPS 2024: mcml.ai/news/2024-12-0… #MCML #LMU #TUM

Our paper: **A Dual-Perspective Approach to Evaluating Feature Attribution Methods** with @LI_YAWEI_7 @YangZhang95123, Kenji Kawaguchi, @ashk__on, @BBischl , Mina Rezaei from @MunichCenterML has been accepted at TMLR

The #mlr3 book has a new chapter on validation / internal tuning / early stopping: mlr3book.mlr-org.com/chapters/chapt… Covers: validation splits for iterative learners such as XGB or NNs, works even in pipelines and can easily be combined with tuning #RStats #mlr3 #DataScience #Statistics

The #MCML offers fully funded #PhD positions in any field of research within the domains of machine learning! The Online Application System is open from 15 October 2024 until 14 November 2024! The position starts on 1 July 2025 Further information: mcml.ai/opportunities/…

We have another opening for a PhD in AutoML @LMU_Muenchen. Apply now at job-portal.lmu.de/jobposting/ba1… #PhD #MachineLearning #Statistics #DataScience #AutoML

We are looking for a PhD in Interpretable Machine Learning and Explainable AI @LMU_Muenchen. Apply now at join.com/companies/uni-…! @XAI_Research #PhD #XAI #MachineLearning #Statistics #ExplainableAI #DataScience #InterpretableML

What makes AI research excellent? Who are the researchers behind MCML? And what drives us at MCML? Get to know us in our imagefilm⬇️ youtube.com/watch?v=o0IRB2…

Wondering how humans should be involved in designing #AutoML solutions 🤔? Check out our #ICML2024 paper: "Position: A Call to Action for a Human-Centered AutoML Paradigm"! 📄✨ proceedings.mlr.press/v235/lindauer2… Drop by at our poster on Thu, Jul 25 at 11:30 AM in Hall C 4-9 #2003 📅 1/3

📢 Are you aware that most of the commonly used datasets used in Tabular Deep Learning are more than 10 years old? If you want to learn more interesting facts about datasets used in Tabular DL, check out our poster at the @DMLRJournal workshop @iclr_conf . 1/3

@BoulesteixLaure @AIML_LMU @__mfeurer__ Also pinging further co-authors :) @wever_marcel @KEggensperger @GiuCasalicchio @eyke_hu

NEW accepted ICML'24 position paper: Rethinking Empirical Research in Machine Learning: Addressing Epistemic and Methodological Challenges of Experimentation arxiv.org/abs/2405.02200 Maybe of interest to some here. @BoulesteixLaure @AIML_LMU @__mfeurer__

Ihr möchtet alles über #MachineLearning erfahren? Die 3 Kurse aus der englischsprachigen Reihe "Introduction to Machine Learning" von der @LMU_Muenchen & dem @MunichCenterML sind jetzt online! 🤖 Hier starten: ➡️ki-campus.org/courses/I2ML_P… #KICampus #KI #MachineLearning #ML

📢 The #DDSG-Team is searching for project partners for this year's 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗦𝗼𝗰𝗶𝗮𝗹 𝗚𝗼𝗼𝗱 𝟮𝟬𝟮𝟰. You will work with a team of 4-5 Fellows led by experienced mentors to solve a problem for the social good. ➡ dssgxmunich.org/call-for-proje…

2023 featured article of TELO "Multi-Objective Hyperparameter Optimization," provides an extensive survey of hyperparameter optimization that covers the domains of evolutionary algorithms. @TELOACM1 @tobiaspielok @FlorianPfi @jak0br @michellangts @BBischl bit.ly/3SEDUo9

Our paper “Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization” with @AmirhVahidi , Simon Schosser, @WmLisa ,@LI_YAWEI_7 ,@BBischl , and @eyke_hu from @LMU_Muenchen has been accepted at #ICLR_2024. Preprint 📚: arxiv.org/pdf/2309.02048…

Excited to say that 'Applied #MachineLearning Using #mlr3 in #RStats' has gone to press and will be published by @CRC_MathStats in January. Pre-order from Amazon. amazon.co.uk/Applied-Machin… @BBischl @larskotthoff @michellangts #DataScience #Statistics

Passionate about diving into the world of Interpretable Machine Learning and Explainable AI for a PhD at @LMU_Muenchen? Apply now! 🎓 @XAI_Research #PhD #XAI #MachineLearning #Statistics #ExplainableAI #DataScience #InterpretableML job-portal.lmu.de/jobposting/09f…

The #AI Symposium with pitch talks of the new #AI & #DataScience professors at @LMU_Muenchen was a great success. We also felt very honored by the greetings of Vice-President Jahraus, Ministerialdirigent Greiner, and the head of @baiosphere_AI @michaelklimke. @researchbavaria