I am thrilled to announce the results of this year’s SPOTSeven Lab Optimization Challenge! This year, we presented the students … More
Category: Optimization
SpotSeven Lab Optimization Challenge 2025/26
For several years, I have organized the SpotSeven Lab Optimization Challenge for students of the “Optimization” and “Numerical Methods” lectures … More
CFP: IEEE WCCI 2026 Speciall Session on Dynamic algorithm Configuration and Selection
We warmly invite you to submit your work to the Special Session on “Dynamic Algorithm Configuration and Selection”, as part … More
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
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
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.
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.