When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.
Chengcheng HanLiqing CuiRenyu ZhuJianing WangNuo ChenQiushi SunXiang LiMing GaoPublished in: ACL (Findings) (2023)
Keyphrases
- black box
- derivative free
- unconstrained optimization
- neural learning
- gradient method
- black boxes
- white box
- objective function
- fan beam
- nonlinear optimization
- optimization methods
- constrained optimization
- global optimization
- test cases
- cost function
- integration testing
- optimization problems
- optimization algorithm
- white box testing
- iterative methods
- penalty function
- multi layered
- loss function
- open source