1 citations · 1 across the 2 of their papers we have counts for
3 papers
physics.app-ph2020★ 1 cited
Machine learning and high-throughput robust design of P3HT-CNT composite thin films for high electrical conductivity
Daniil Bash, Yongqiang Cai, Vijila Chellappan +16
Combining high-throughput experiments with machine learning allows quick optimization of parameter spaces towards achieving target properties. In this study, we demonstrate that ma…
cs.LG2020
Optimization in Machine Learning: A Distribution Space Approach
Yongqiang Cai, Qianxiao Li, Zuowei Shen
We present the viewpoint that optimization problems encountered in machine learning can often be interpreted as minimizing a convex functional over a function space, but with a non…
cs.LG2018
A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent
Yongqiang Cai, Qianxiao Li, Zuowei Shen
Despite its empirical success and recent theoretical progress, there generally lacks a quantitative analysis of the effect of batch normalization (BN) on the convergence and stabil…