Anja Jankovic

Orcid: 0000-0001-9267-4595

Affiliations:
  • LIP6, Sorbonne Université, Paris, France


According to our database1, Anja Jankovic authored at least 14 papers between 2019 and 2023.

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Bibliography

2023
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization.
Proceedings of the International Conference on Automated Machine Learning, 2023

Self-Adjusting Weighted Expected Improvement for Bayesian Optimization.
Proceedings of the International Conference on Automated Machine Learning, 2023

2022
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis.
CoRR, 2022

PI is back! Switching Acquisition Functions in Bayesian Optimization.
CoRR, 2022

Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Trajectory-based Algorithm Selection with Warm-starting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
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).
PhD thesis, 2021

The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Personalizing performance regression models to black-box optimization problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Towards Feature-Based Performance Regression Using Trajectory Data.
Proceedings of the Applications of Evolutionary Computation, 2021

2020
Landscape-aware fixed-budget performance regression and algorithm selection for modular CMA-ES variants.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Adaptive landscape analysis.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019


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