Author of the publication

PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization.

, , , , , , , , and . AutoML, volume 224 of Proceedings of Machine Learning Research, page 11/1-17. PMLR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Trajectory-based Algorithm Selection with Warm-starting., , , , , and . CEC, page 1-8. IEEE, (2022)Improving Evaluation of Recombination-based Cartesian Genetic Programming., , , , and . CoRR, (May 2026)Future Trends in Digital Services and Products: Evidence from Serbian Manufacturing Firms., , , , , and . APMS (2), volume 664 of IFIP Advances in Information and Communication Technology, page 341-350. Springer, (2022)Self-Adjusting Weighted Expected Improvement for Bayesian Optimization., , , , and . AutoML, volume 224 of Proceedings of Machine Learning Research, page 6/1-50. PMLR, (2023)Sampling on Random Subspaces under Limited Data in the Context of Exploratory Landscape Analysis., , , and . CoRR, (July 2026)Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features., , , , , , and . PPSN (1), volume 13398 of Lecture Notes in Computer Science, page 46-60. Springer, (2022)PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization., , , , , , , , and . AutoML, volume 224 of Proceedings of Machine Learning Research, page 11/1-17. PMLR, (2023)Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization., , , , and . GECCO Companion, page 483-486. ACM, (2023)Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data., , , , , , and . (April 2022)Towards Online Landscape-Aware Algorithm Selection in Numerical Black-Box Optimization. (Vers une sélection en ligne d'algorithmes tenant compte du paysage dans l'optimisation numérique de boîte noire).. Sorbonne University, Paris, France, (2021)