RF+clust for Leave-One-Problem-Out Performance Prediction

23 January 2023

Papers citing "RF+clust for Leave-One-Problem-Out Performance Prediction"

6 / 6 papers shown

Title
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization Gjorgjina Cenikj Ana Nikolikj Gašper Petelin Niki van Stein Carola Doerr T. Eftimov 54 1 0 08 Jun 2024
Impact of Training Instance Selection on Automated Algorithm Selection Models for Numerical Black-box Optimization Konstantin Dietrich Diederick Vermetten Carola Doerr P. Kerschke 22 1 0 11 Apr 2024
MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts Diederick Vermetten Furong Ye Thomas Bäck Carola Doerr 16 8 0 18 Dec 2023
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts Diederick Vermetten Furong Ye Thomas Bäck Carola Doerr 29 11 0 18 Jun 2023
Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction Ana Nikolikj Michal Pluhacek Carola Doerr Peter Korošec T. Eftimov 22 2 0 30 May 2023
A Random Forest Guided Tour Gérard Biau Erwan Scornet AI4TS 155 2,729 0 18 Nov 2015