5 citations · 6 across the 2 of their papers we have counts for
2 papers
stat.CO2022★ 1 cited
Tuning Stochastic Gradient Algorithms for Statistical Inference via Large-Sample Asymptotics
Jeffrey Negrea, Jun Yang, Haoyue Feng +2
The tuning of stochastic gradient algorithms (SGAs) for optimization and sampling is often based on heuristics and trial-and-error rather than generalizable theory. We address this…
astro-ph.GA2021★ 5 cited
Preliminary analysis on the noise characteristics of MWISP data
Jia-Jun Cai, Ji Yang, Sheng Zheng +4
Noise is a significant part within a millimeter-wave molecular line datacube. Analyzing the noise improves our understanding of noise characteristics, and further contributes to sc…