228 citations · 392 across the 12 of their papers we have counts for
4 papers · 1 filter
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution
Cong Ma, Kaizheng Wang, Yuejie Chi +1
Recent years have seen a flurry of activities in designing provably efficient nonconvex procedures for solving statistical estimation problems. Due to the highly nonconvex nature o…
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
Emmanuel Abbe, Jianqing Fan, Kaizheng Wang +1
Recovering low-rank structures via eigenvector perturbation analysis is a common problem in statistical machine learning, such as in factor analysis, community detection, ranking,…
Spectral Method and Regularized MLE Are Both Optimal for Top- Ranking
Yuxin Chen, Jianqing Fan, Cong Ma +1
This paper is concerned with the problem of top- ranking from pairwise comparisons. Given a collection of items and a few pairwise comparisons across them, one wishes to ide…
Distributed Estimation of Principal Eigenspaces
Jianqing Fan, Dong Wang, Kaizheng Wang +1
Principal component analysis (PCA) is fundamental to statistical machine learning. It extracts latent principal factors that contribute to the most variation of the data. When data…