1 code implementation • 28 May 2020 • Katsuhiro Endo, Taichi Nakamura, Keisuke Fujii, Naoki Yamamoto
The self-learning Metropolis-Hastings algorithm is a powerful Monte Carlo method that, with the help of machine learning, adaptively generates an easy-to-sample probability distribution for approximating a given hard-to-sample distribution.
Quantum Physics