no code implementations • NeurIPS 2016 • Oswin Krause, Dídac Rodríguez Arbonès, Christian Igel
The covariance matrix adaptation evolution strategy (CMA-ES) is arguably one of the most powerful real-valued derivative-free optimization algorithms, finding many applications in machine learning.
