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IDE+A

Institute for Data Science, Engineering, and Analytics

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Category: Optimization

Reading Recommendation: “Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applications”

The preprint, which was written by Christina Sauer, Anne-Laure Boulesteix, Luzia Hanßum, Farina Hodiamont, Claudia Bausewein, and Theresa Ullmann, is available on arXiv: https://arxiv.org/abs/2412.03491 Abstract: … More

Hyperparameter Tuning, SPOT
sigevo

The last 2024 issue of the SIGEvolution newsletter  (Winter 2024) is now available online

The last 2024 issue of the SIGEvolution newsletter  (Winter 2024) is now available online: https://evolution.sigevo.org/issues/HTML/sigevolution-17-4/index.html Many thanks to our contributors.  … More

CfP: ProbNum25 – The International Conference on Probabilistic Numerics

1st – 3rd September 2025, EURECOM, France ProbNum25 is an international conference on Probabilistic Numerics, methods for statistically solving numerical problems (optimisation, … More

Optimization

Reading Recommendation: “SCORE Band Visualizations: Supporting Decision Makers in Comparing High-Dimensional Outcome Vectors in Multiobjective Optimization”

The paper contributes to visualizing such outcome vectors independent of how they have been generated.

Optimization

Interesting: Lecture Series in AI: “How Could Machines Reach Human-Level Intelligence?” by Yann LeCun

Yann LeCun’s lecture discusses the limitations of current AI, emphasizing the need for a cognitive architecture with a predictive world model. This model uses a Joint Embedding Predictive Architecture (JEPA) to enable planning and understanding, aiming for human-level intelligence.

AI, Optimization, Video

Recent Posts

  • IDE+A Institut auf dem General Assembly Meeting des SHAPE-FUTURE Projekts in Riga
  • ICML (International Conference on Machine Learning): Rückblick von Noah Pütz
  • “Recent Trends and Perspectives in AI” by Julian Hatzky (Technical Lead, Prognos AG)
  • ICLR 2024 Review by Jens Brandt
  • Forschung live: KI im Rennsport

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