Adaptive landscape analysis. - Anja Jankovic 001; Carola Doerr (GECCO (Companion), 2019)

Landscape-aware fixed-budget performance regression and algorithm selection for modular CMA-ES variants. - Anja Jankovic 001; Carola Doerr (GECCO, 2020)

Towards Feature-Based Performance Regression Using Trajectory Data. - Anja Jankovic 001; Tome Eftimov; Carola Doerr (EvoApplications, 2021)

Personalizing performance regression models to black-box optimization problems. - Tome Eftimov; Anja Jankovic 001; Gorjan Popovski; Carola Doerr; Peter Korosec (GECCO, 2021)

The impact of hyper-parameter tuning for landscape-aware performance regression and algorithm selection. - Anja Jankovic 001; Gorjan Popovski; Tome Eftimov; Carola Doerr (GECCO, 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 001 (2021)

Trajectory-based Algorithm Selection with Warm-starting. - Anja Jankovic 001; Diederick Vermetten; Ana Kostovska; Jacob de Nobel; Tome Eftimov; Carola Doerr (CEC, 2022)

Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. - Ana Kostovska; Anja Jankovic 001; Diederick Vermetten; Jacob de Nobel; Hao Wang 025; Tome Eftimov; Carola Doerr (PPSN (1), 2022)

PI is back! Switching Acquisition Functions in Bayesian Optimization. - Carolin Benjamins; Elena Raponi; Anja Jankovic 001; Koen van der Blom; Maria Laura Santoni; Marius Lindauer; Carola Doerr (CoRR, 2022)

Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis. - Carolin Benjamins; Anja Jankovic 001; Elena Raponi; Koen van der Blom; Marius Lindauer; Carola Doerr (CoRR, 2022)

Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data. - Anja Jankovic 001; Ana Kostovska; Diederick Vermetten; Jacob de Nobel; Hao Wang 025; Tome Eftimov; Carola Doerr (Zenodo, 2022)

Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. - Carolin Benjamins; Elena Raponi; Anja Jankovic 001; Carola Doerr; Marius Lindauer (AutoML, 2023)

PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. - Ana Kostovska; Gjorgjina Cenikj; Diederick Vermetten; Anja Jankovic 001; Ana Nikolikj; Urban Skvorc; Peter Korosec; Carola Doerr; Tome Eftimov (AutoML, 2023)

Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. - Carolin Benjamins; Elena Raponi; Anja Jankovic 001; Carola Doerr; Marius Lindauer (GECCO Companion, 2023)

Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. - Ana Kostovska; Anja Jankovic 001; Diederick Vermetten; Saso Dzeroski; Tome Eftimov; Carola Doerr (GECCO Companion, 2023)