6 citations · 10 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 6 cited
Consistent Semi-Supervised Graph Regularization for High Dimensional Data
Xiaoyi Mai, Romain Couillet
Semi-supervised Laplacian regularization, a standard graph-based approach for learning from both labelled and unlabelled data, was recently demonstrated to have an insignificant hi…
stat.ML2019
High Dimensional Classification via Regularized and Unregularized Empirical Risk Minimization: Precise Error and Optimal Loss
Xiaoyi Mai, Zhenyu Liao
This article provides, through theoretical analysis, an in-depth understanding of the classification performance of the empirical risk minimization framework, in both ridge-regular…
cs.LG2017★ 4 cited
A random matrix analysis and improvement of semi-supervised learning for large dimensional data
Xiaoyi Mai, Romain Couillet
This article provides an original understanding of the behavior of a class of graph-oriented semi-supervised learning algorithms in the limit of large and numerous data. It is demo…