Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning

4 February 2024

Papers citing "Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning"

7 / 7 papers shown

Title
Generative Discovery of Partial Differential Equations by Learning from Math Handbooks Hao Xu Y. Chen Rui Cao Tianning Tang Mengge Du Jiacheng Li Adrian H. Callaghan Dongxiao Zhang 29 0 0 09 May 2025
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization Hongshu Guo Wenjie Qiu Zeyuan Ma Xuzhi Zhang Jun Zhang Jiawei Liu 49 1 0 24 Apr 2025
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-jiao Gong Jun Zhang Kay Chen Tan 104 2 0 01 Nov 2024
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning Zeyuan Ma Jiacheng Chen Hongshu Guo Yining Ma Yue-jiao Gong 46 7 0 12 Apr 2024
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 85 327 0 20 Sep 2021
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient Jianyong Sun Xin Liu Thomas Bäck Zongben Xu 39 78 0 06 Feb 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017