435 citations · 1.7k across the 85 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2021★ 2 cited
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions
Shao-Qun Zhang, Zhi-Hua Zhou
Mimicking and learning the long-term memory of efficient markets is a fundamental problem in the interaction between machine learning and financial economics to sequential data. De…
stat.ML2021★ 9 cited
Towards an Understanding of Benign Overfitting in Neural Networks
Zhu Li, Zhi-Hua Zhou, Arthur Gretton
Modern machine learning models often employ a huge number of parameters and are typically optimized to have zero training loss; yet surprisingly, they possess near-optimal predicti…