OpenBox: A Python Toolkit for Generalized Black-box Optimization

26 April 2023

Papers citing "OpenBox: A Python Toolkit for Generalized Black-box Optimization"

5 / 5 papers shown

Title
Towards General and Efficient Online Tuning for Spark Yang Li Huaijun Jiang Yu Shen Yide Fang Xiaofeng Yang ... Xinyi Zhang Wentao Zhang Ce Zhang Peng Chen Bin Cui 29 12 0 05 Sep 2023
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes P. Saves R. Lafage N. Bartoli Y. Diouane J. Bussemaker T. Lefebvre John T. Hwang J. Morlier J. Martins MoE 11 60 0 23 May 2023
BBTv2: Towards a Gradient-Free Future with Large Language Models Tianxiang Sun Zhengfu He Hong Qian Yunhua Zhou Xuanjing Huang Xipeng Qiu 105 53 0 23 May 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 85 326 0 20 Sep 2021
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 127 406 0 06 Mar 2017