caroladoerr.bsky.social
CNRS research director at Sorbonne University in Paris. Interested in black-box optimization (theory, benchmarking, applications, learning,...). ERC project dynaBBO on dynamic black-box optimization algorithms (consolidator grant)
👤 Joined on 15 September 2023
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@caroladoerr.bsky.socialSubmissions to #AutoML26 close April 30 and our scope is broader than you think 🚀 Agentic AutoML, foundation models, AutoML for LLMs ⚙️ HPO, NAS, meta-learning, pipeline automation 📊 Diverse data, fairness, explainability, reproducibility 📍 Ljubljana Sep 28–Oct 1 #CfP: 2026.automl.cc/call-for-pap...
Show PostI've started working as an Assistant Professor (Lecturer) in Computer Science at Lancaster University in Leipzig. Excited to get stuck into teaching and research! 😊
Show Post📢 Great news! All #AutoML25 conference recordings are now live, including keynotes and tutorials! Check it out here: www.youtube.com/@automl_conf... Happy learning! 🧑🎓 #AutoMLConf #NYC
Show PostJoin us for the #AutoML25 Online Post-Conference Gathering. It is open to the public! It will include an extra keynote presentation by Pablo Samuel Castro (Google DeepMind) about the potential for AutoRL! 📆 Sept 25 | 8AM to 12PM EST 📍 uni-freiburg.zoom-x.de/j/6448752006... 🌐 2025.automl.cc
Show PostAt #AutoML25, Dr. Manuela Veloso calls for 3 major directions for AI research: 1) AI must know what it doesn't know (uncertainty). 2) AI must be able to continually improve (continual learning). 3) AI systems must include humans at all times to be more robust (automation is always only partial).
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