Ana Nikolikj

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 21

Top Topics

Prediction Model

Top Venues

GECCO Companion

Publications

Ana Nikolikj, Tome Eftimov
Comparing Solvability Patterns of Algorithms across Diverse Problem Landscapes. GECCO Companion (2024)
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)
Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. GECCO Companion (2024)
Ana Nikolikj, Ana Kostovska, Diederick Vermetten, Carola Doerr, Tome Eftimov
Quantifying Individual and Joint Module Impact in Modular Optimization Frameworks. CEC (2024)
Carolin Benjamins, Gjorgjina Cenikj, Ana Nikolikj, Aditya Mohan, Tome Eftimov, Marius Lindauer
Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization. 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. 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)
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)
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)
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)
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, 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)
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)
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)
Ana Nikolikj, Risto Trajanov, Gjorgjina Cenikj, Peter Korosec, Tome Eftimov
Identifying minimal set of Exploratory Landscape Analysis features for reliable algorithm performance prediction. CEC (2022)
Ana Nikolikj, Ryan Dieter Lang, Peter Korosec, Tome Eftimov
Explaining Differential Evolution Performance Through Problem Landscape Characteristics. BIOMA (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)
Ana Nikolikj, Carola Doerr, Tome Eftimov
RF+clust for Leave-One-Problem-Out Performance Prediction. EvoApplications@EvoStar (2013)