BriefGPT.xyz
Jun, 2018
实际中的可扩展自然梯度 Langevin 动力学
Scalable Natural Gradient Langevin Dynamics in Practice
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Henri Palacci, Henry Hess
TL;DR
本文比较了不同的预处理方法以规范噪声向量，从混合时间、正则化效果、协变量漂移检测和对抗样本抗干扰性等方面对其进行了评估。
Abstract
stochastic gradient langevin dynamics
(SGLD) is a sampling scheme for
bayesian modeling
adapted to large datasets and models. SGLD relies on the injection of Gaussian Noise at each step of a Stochastic Gradient D
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