3 papers
cs.LG2022
Hybrid training of optical neural networks
James Spall, Xianxin Guo, A. I. Lvovsky
Optical neural networks are emerging as a promising type of machine learning hardware capable of energy-efficient, parallel computation. Today's optical neural networks are mainly…
math.OC2019
Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems
Jingyi Zhu, Long Wang, James C. Spall
Stochastic approximation (SA) algorithms have been widely applied in minimization problems when the loss functions and/or the gradient information are only accessible through noisy…
stat.CO2019
Error Analysis for the Particle Filter: Methods and Theoretical Support
Ziyu Liu, Shihong Wei, James C. Spall
The particle filter is a popular Bayesian filtering algorithm for use in cases where the state-space model is nonlinear and/or the random terms (initial state or noises) are non-Ga…