Elena Raponi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

High Dimensional

Kernel Principal Component Analysis

Bayesian Learning

Optimization Algorithm

Top Venues

GECCO Companion

ACM Trans. Evol. Learn. Optim.

Publications

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)
Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer
Automated Federated Learning via Informed Pruning. CoRR (2024)
Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. AutoML (2023)
Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer
Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. GECCO Companion (2023)
Carolin Benjamins, Elena Raponi, Anja Jankovic, Carola Doerr, Marius Lindauer
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization. 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)
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)
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)
Bas van Stein, Elena Raponi
GSAreport: Easy to Use Global Sensitivity Reporting. J. Open Source Softw. 7 (78) (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)
Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis. PPSN (1) (2022)
Bas van Stein, Elena Raponi, Zahra Sadeghi, Niek Bouman, Roeland C. H. J. Van Ham, Thomas Bäck
A Comparison of Global Sensitivity Analysis Methods for Explainable AI With an Application in Genomic Prediction. IEEE Access 10 (2022)
Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis. CoRR (2022)
Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr
High Dimensional Bayesian Optimization Assisted by Principal Component Analysis. PPSN (1) (2020)
Elena Raponi, Hao Wang, Mariusz Bujny, Simonetta Boria, Carola Doerr
High Dimensional Bayesian Optimization Assisted by Principal Component Analysis. CoRR (2020)
Elena Raponi, Mariusz Bujny, Markus Olhofer, Simonetta Boria, Fabian Duddeck
Hybrid Kriging-assisted Level Set Method for Structural Topology Optimization. IJCCI (2019)