Optimistic Gradient Learning with Hessian Corrections for High-Dimensional Black-Box Optimization

Yedidya Kfir, Elad Sarafian, Sarit Kraus +1

Black-box algorithms are designed to optimize functions without relying on their underlying analytical structure or gradient information, making them essential when gradients are i…