Curated articles on theoretical and experimental advances in intelligent and autonomous robotic systems.
Editor James Usevitch
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning (2020)
Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura, Gaoyuan Zhang, Alfred Hero, Pramod K. Varshney
arXiv: 2006.06224
A review of zeroth-order optimization methods, which enable approximating gradients for black-box models or models where explicit gradient expressions are infeasible to obtain.