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1
Stein’s Method in Stochastic Geometry, Statistical Learning, and Optimisation
24. Aug 2025 - 29. Aug 2025 • Oberwolfach, Deutschland
Themen:
Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)
Eintrags-ID:
1605393
2
Dagstuhl-Seminar — Bayesian Optimisation
02. Nov 2025 - 07. Nov 2025 • Schloss Dagstuhl, Deutschland
Veranstalter:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH
Zusammenfassung:
Research in Bayesian optimisation spans multiple domains, including Machine Learning, Statistics, Engineering, and Operational Research. This makes it a multi-disciplinary field that benefits from a wide range of perspectives and methodologies, but also means the community is dispersed. As a result, there is a need for a forum where researchers from different disciplines can share insights, compare approaches, and collaborate on standardizing tools and benchmarks.
Eintrags-ID:
1670377
3
Dagstuhl-Seminar — Generalized Voronoi Diagrams and Applications
30. Nov 2025 - 05. Dez 2025 • Schloss Dagstuhl, Deutschland
Veranstalter:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH
Zusammenfassung:
Voronoi diagrams are fundamental geometric structures that divide space into regions based on proximity to points or sites. They play an important role in many fields of science and have become cornerstones of disciplines such as computational geometry, scientific computing, and optimization.
Eintrags-ID:
1670274
4
Dagstuhl-Seminar — Uncertainty Quantification in Multiobjective Optimization
18. Jan 2026 - 23. Jan 2026 • Schloss Dagstuhl, Deutschland
Veranstalter:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH
Zusammenfassung:
The seminar seeks to identify the most pressing needs for quantifying uncertainty in MO problems that arise in industry, along with the most promising theoretical and methodological developments that will lead to efficient algorithms for addressing the identified needs. Toward this end, the seminar aims to bring together academic and industry experts as well as early-career researchers from different research disciplines, including Evolutionary Multiobjective Optimization, Multiple Criteria Decision Making, and Stochastic/Simulation Optimization, to discuss and propose novel ideas related to modeling, theory, and novel applications of MO under uncertainty.
Eintrags-ID:
1670413
5
Dagstuhl-Seminar — Best Practice for Leveraging Domain Knowledge in Real-World Optimization
08. Feb 2026 - 13. Feb 2026 • Schloss Dagstuhl, Deutschland
Veranstalter:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH
Zusammenfassung:
The purpose of this Dagstuhl Seminar is to audit the current experience that exists in the field, pool it, and start to describe that experience in a way that goes beyond anecdote (although anecdotes can be useful) and moves us toward advice or recipes that actually work in practice.
Eintrags-ID:
1670559
6
Dagstuhl-Seminar — Algorithmic Advances for a New Era of Data-Driven, Multi-Modal Transit Systems
19. Jul 2026 - 24. Jul 2026 • Schloss Dagstuhl, Deutschland
Veranstalter:
Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH
Zusammenfassung:
Recent breakthroughs in autonomy, electrification, and shared mobility are transforming transportation by opening new avenues for integrated, multi-modal transit systems with potential to benefit society as a whole. This five-day Dagstuhl Seminar aims to bring together experts from computer science, operations research, engineering, social sciences, and public policy to tackle both the theoretical and practical challenges at the intersection of data-driven transit planning, algorithm design, and real-world implementation.
Eintrags-ID:
1671590
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