CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure

1 July 2023

Papers citing "CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure"

8 / 8 papers shown

Title
Ensembling Finetuned Language Models for Text Classification Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka 33 0 0 25 Oct 2024
Dynamic Post-Hoc Neural Ensemblers Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka UQCV 44 0 0 06 Oct 2024
Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and Cost Jannis Maier Felix Möller Lennart Purucker 44 0 0 05 Aug 2024
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization Thomas Nagler Lennart Schneider B. Bischl Matthias Feurer 45 2 0 24 May 2024
cmaes : A Simple yet Practical Python Library for CMA-ES Masahiro Nomura Masashi Shibata 45 20 0 02 Feb 2024
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications David Salinas Nick Erickson 29 10 0 06 Nov 2023
Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm Gongjin Lan Jakub M. Tomczak D. Roijers A. E. Eiben 84 80 0 04 May 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 97 610 0 13 Mar 2020