Carola Doerr

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 224

Top Venues

Publications

Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. CoRR (2024)
Gjorgjina Cenikj, Ana Nikolikj, Gasper Petelin, Niki van Stein, Carola Doerr, Tome Eftimov
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization. CoRR (2024)
Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB. ACM Trans. Evol. Learn. Optim. 4 (3) (2024)
François Clément, Carola Doerr, Kathrin Klamroth, Luís Paquete
Transforming the Challenge of Constructing Low-Discrepancy Point Sets into a Permutation Selection Problem. CoRR (2024)
Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
Large-scale Benchmarking of Metaphor-based Optimization Heuristics. CoRR (2024)
Diederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bäck, Carola Doerr
Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler. CoRR (2024)
Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bäck
Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler. GECCO Companion (2024)
Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. GECCO (2024)
Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. CEC (2024)
François Clément, Carola Doerr, Luís Paquete
Heuristic approaches to obtain low-discrepancy point sets via subset selection. J. Complex. 83 (2024)
Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov
Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks. CoRR (2024)
Konstantin Dietrich, Diederick Vermetten, Carola Doerr, Pascal Kerschke
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. GECCO (2024)
Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization. CoRR (2024)
Konstantin Dietrich, Diederick Vermetten, Carola Doerr, Pascal Kerschke
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization. CoRR (2024)
Manuel López-Ibáñez, Diederick Vermetten, Johann Dréo, Carola Doerr
Using the Empirical Attainment Function for Analyzing Single-objective Black-box Optimization Algorithms. CoRR (2024)
Ana Nikolikj, Ana Kostovska, Gjorgjina Cenikj, Carola Doerr, Tome Eftimov
Generalization Ability of Feature-Based Performance Prediction Models: A Statistical Analysis Across Benchmarks. CEC (2024)
Carola Doerr, Duri Andrea Janett, Johannes Lengler
Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions. CoRR (2023)
Carola Doerr
Benchmarking Iterative Optimization Heuristics with IOHprofiler (invited paper). ITAT (2023)
François Clément, Carola Doerr, Luís Paquete
Heuristic Approaches to Obtain Low-Discrepancy Point Sets via Subset Selection. CoRR (2023)
Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction. CoRR (2023)
Ana Nikolikj, Carola Doerr, Tome Eftimov
RF+clust for Leave-One-Problem-Out Performance Prediction. CoRR (2023)
Ana Nikolikj, Michal Pluhacek, Carola Doerr, Peter Korosec, Tome Eftimov
Sensitivity Analysis of RF+clust for Leave-One-Problem-Out Performance Prediction. CEC (2023)
Carola Doerr, Martin S. Krejca
Run Time Analysis for Random Local Search on Generalized Majority Functions. IEEE Trans. Evol. Comput. 27 (5) (2023)
François Clément, Diederick Vermetten, Jacob de Nobel, Alexandre D. Jesus, Luís Paquete, Carola Doerr
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms. CoRR (2023)
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. CoRR (2023)
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts. AutoML (2023)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. CoRR (2023)
François Clément, Carola Doerr, Kathrin Klamroth, Luís Paquete
Star Discrepancy Sets. CoRR (2023)
Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. GECCO (2023)
Diederick Vermetten, Furong Ye, Carola Doerr
Using Affine Combinations of BBOB Problems for Performance Assessment. CoRR (2023)
Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. GECCO (2023)
Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. AutoML (2023)
Deyao Chen, Maxim Buzdalov, Carola Doerr, Nguyen Dang
Using Automated Algorithm Configuration for Parameter Control. FOGA (2023)
Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer
Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. GECCO Companion (2023)
Gjorgjina Cenikj, Gasper Petelin, Carola Doerr, Peter Korosec, Tome Eftimov
DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems. CoRR (2023)
Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. CoRR (2023)
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts. CoRR (2023)
Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr
Comparison of Bayesian Optimization Algorithms for BBOB Problems in Dimensions 10 and 60. GECCO Companion (2023)
Diederick Vermetten, Furong Ye, Carola Doerr
Using Affine Combinations of BBOB Problems for Performance Assessment. GECCO (2023)
Carola Doerr, Duri Andrea Janett, Johannes Lengler
Tight Runtime Bounds for Static Unary Unbiased Evolutionary Algorithms on Linear Functions. GECCO (2023)
Deyao Chen, Maxim Buzdalov, Carola Doerr, Nguyen Dang
Using Automated Algorithm Configuration for Parameter Control. CoRR (2023)
François Clément, Diederick Vermetten, Jacob de Nobel, Alexandre D. Jesus, Luís Paquete, Carola Doerr
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms. GECCO (2023)
Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB. CoRR (2023)
Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym. CoRR (2023)
Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. GECCO Companion (2023)
Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. CoRR (2023)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. IEEE Trans. Evol. Comput. 27 (6) (2023)
Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovic, Ana Nikolikj, Urban Skvorc, Peter Korosec, Carola Doerr, Tome Eftimov
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization. AutoML (2023)
Carola Doerr
Bridging Theory and Practice in Evolutionary Computation? FOGA (2023)
Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts. CoRR (2023)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Saso Dzeroski, Tome Eftimov, Carola Doerr
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems. GECCO Companion (2023)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Pance Panov, Tome Eftimov, Carola Doerr
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms. CoRR (2023)
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
Assessing the Generalizability of a Performance Predictive Model. CoRR (2023)
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
Assessing the Generalizability of a Performance Predictive Model. GECCO Companion (2023)
Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
SELECTOR: selecting a representative benchmark suite for reproducible statistical comparison. GECCO (2022)
Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking. IEEE Trans. Evol. Comput. 26 (3) (2022)
Carolin Benjamins, Elena Raponi, Anja Jankovic, Koen van der Blom, Maria Laura Santoni, Marius Lindauer, Carola Doerr
PI is back! Switching Acquisition Functions in Bayesian Optimization. CoRR (2022)
Carolin Benjamins, Anja Jankovic, Elena Raponi, Koen van der Blom, Marius Lindauer, Carola Doerr
Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis. CoRR (2022)
Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr
Improving Nevergrad's Algorithm Selection Wizard NGOpt Through Automated Algorithm Configuration. PPSN (1) (2022)
André Biedenkapp, Nguyen Dang, Martin S. Krejca, Frank Hutter, Carola Doerr
Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration. CoRR (2022)
Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
Explainable Model-specific Algorithm Selection for Multi-Label Classification. CoRR (2022)
François Clément, Carola Doerr, Luís Paquete
Star discrepancy subset selection: Problem formulation and efficient approaches for low dimensions. J. Complex. 70 (2022)
Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr
Trajectory-based Algorithm Selection with Warm-starting. CEC (2022)
Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis. PPSN (1) (2022)
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics. ACM Trans. Evol. Learn. Optim. 2 (1) (2022)
Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022. GECCO Companion (2022)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
The importance of landscape features for performance prediction of modular CMA-ES variants. GECCO (2022)
Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. GECCO Companion (2022)
Maxim Buzdalov, Benjamin Doerr, Carola Doerr, Dmitry Vinokurov
Fixed-Target Runtime Analysis. Algorithmica 84 (6) (2022)
Ana Kostovska, Diederick Vermetten, Carola Doerr, Saso Dzeroski, Pance Panov, Tome Eftimov
OPTION: OPTImization Algorithm Benchmarking ONtology. CoRR (2022)
Nina Bulanova, Arina Buzdalova, Carola Doerr
Fast Re-Optimization of LeadingOnes with Frequent Changes. CEC (2022)
André Biedenkapp, Nguyen Dang, Martin S. Krejca, Frank Hutter, Carola Doerr
Theory-inspired parameter control benchmarks for dynamic algorithm configuration. GECCO (2022)
Ana Kostovska, Diederick Vermetten, Saso Dzeroski, Carola Doerr, Peter Korosec, Tome Eftimov
The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants. CoRR (2022)
Furong Ye, Diederick L. Vermetten, Carola Doerr, Thomas Bäck
Non-Elitist Selection among Survivor Configurations can Improve the Performance of Irace. CoRR (2022)
Thomas Bäck, Carola Doerr, Bernhard Sendhoff, Thomas Stützle
Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software. IEEE Trans. Evol. Comput. 26 (6) (2022)
Nina Bulanova, Arina Buzdalova, Carola Doerr
Fast Re-Optimization of LeadingOnes with Frequent Changes. CoRR (2022)
Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr
Automated algorithm selection for radar network configuration. GECCO (2022)
Diederick Vermetten, Hao Wang, Manuel López-Ibáñez, Carola Doerr, Thomas Bäck
Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms. GECCO (2022)
Carola Doerr, Martin S. Krejca
Run Time Analysis for Random Local Search on Generalized Majority Functions. CoRR (2022)
Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
Benchmarking and analyzing iterative optimization heuristics with IOH profiler. GECCO Companion (2022)
Gjorgjina Cenikj, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov
SELECTOR: Selecting a Representative Benchmark Suite for Reproducible Statistical Comparison. CoRR (2022)
Anja Jankovic, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr
Trajectory-based Algorithm Selection with Warm-starting. CoRR (2022)
Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr
Automated Algorithm Selection for Radar Network Configuration. CoRR (2022)
Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis. CoRR (2022)
Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance. IEEE Trans. Evol. Comput. 26 (6) (2022)
Diederick Vermetten, Hao Wang, Manuel López-Ibáñez, Carola Doerr, Thomas Bäck
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms. CoRR (2022)
Risto Trajanov, Ana Nikolikj, Gjorgjina Cenikj, Fabien Teytaud, Mathurin Videau, Olivier Teytaud, Tome Eftimov, Manuel López-Ibáñez, Carola Doerr
Improving Nevergrad's Algorithm Selection Wizard NGOpt through Automated Algorithm Configuration. CoRR (2022)
Furong Ye, Diederick Vermetten, Carola Doerr, Thomas Bäck
Non-elitist Selection Can Improve the Performance of Irace. PPSN (1) (2022)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features. PPSN (1) (2022)
Ana Kostovska, Carola Doerr, Saso Dzeroski, Dragi Kocev, Pance Panov, Tome Eftimov
Explainable Model-specific Algorithm Selection for Multi-Label Classification. SSCI (2022)
Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
Per-run Algorithm Selection with Warm-starting using Trajectory-based Features. CoRR (2022)
Dominik Schröder, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
Chaining of Numerical Black-box Algorithms: Warm-Starting and Switching Points. CoRR (2022)
Anja Jankovic, Tome Eftimov, Carola Doerr
Towards Feature-Based Performance Regression Using Trajectory Data. CoRR (2021)
Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. CoRR (2021)
Nathan Buskulic, Carola Doerr
Maximizing Drift Is Not Optimal for Solving OneMax. Evol. Comput. 29 (4) (2021)
Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. CoRR (2021)
Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. EvoApplications (2021)
Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance. CoRR (2021)
Kirill Antonov, Maxim Buzdalov, Arina Buzdalova, Carola Doerr
Blending Dynamic Programming with Monte Carlo Simulation for Bounding the Running Time of Evolutionary Algorithms. CEC (2021)
Furong Ye, Carola Doerr, Thomas Bäck
Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Carola Doerr