Stochastic gradient Langevin dynamics (SGLD) でニューラルネットワークの予測の不確実性を算出する手法を紹介します。 Stochastic gradient Langevin dynamics 確率的勾配降下法とランジュバン動力学によるを組み合わせて、パラメータの事後分布をサンプリングする手法です。

Abstract: In this study, we propose and compare stochastic variants of the extra-gradient alternating direction method, named the stochastic extra-gradient alternating direction method with Lagrangian ...

Abstract: This paper tackles the challenge of parameter calibration in stochastic models, particularly in scenarios where the likelihood function is unavailable in an analytical form. We introduce a ...

a) Conceptual diagram of the on-chip optical processor used for optical switching and channel decoder in an MDM optical communications system. (b) Integrated reconfigurable optical processor schematic ...