Anja Jankovic

According to our database, Anja Jankovic authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Comparing Algorithm Selection Approaches on Black-Box Optimization Problems.

Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization.

Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer

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.

Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov

Proceedings of the International Conference on Automated Machine Learning, 2023

Self-Adjusting Weighted Expected Improvement for Bayesian Optimization.

Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data.

Anja Jankovic, Ana Kostovska, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr

Dataset, April, 2022

Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis.

Carolin Benjamins, Anja Jankovic, Elena Raponi, Koen van der Blom, Marius Lindauer, Carola Doerr

CoRR, 2022

PI is back! Switching Acquisition Functions in Bayesian Optimization.

Carolin Benjamins, Elena Raponi, Anja Jankovic, Koen van der Blom, Maria Laura Santoni, Marius Lindauer, Carola Doerr

CoRR, 2022

Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features.

Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Trajectory-based Algorithm Selection with Warm-starting.

Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr

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).

Anja Jankovic

PhD thesis, 2021

The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection.

Anja Jankovic, Gorjan Popovski, Tome Eftimov, Carola Doerr

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Personalizing performance regression models to black-box optimization problems.

Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korosec

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Towards Feature-Based Performance Regression Using Trajectory Data.

Anja Jankovic, Tome Eftimov, Carola Doerr

Proceedings of the Applications of Evolutionary Computation, 2021

2020

Landscape-aware fixed-budget performance regression and algorithm selection for modular CMA-ES variants.

Anja Jankovic, Carola Doerr

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Adaptive landscape analysis.

Anja Jankovic, Carola Doerr

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019