no code implementations • 24 Jun 2020 • Yuta Shikuri
In this paper, we propose a novel framework called the likelihood-free Gaussian process (LFGP), which allows representation of the posterior distributions of interest parameters for scalable problems without directly setting their likelihood functions.
no code implementations • NeurIPS 2021 • Yuta Shikuri
However, the bit capacity of an annealing machine is currently limited.