22 citations · 84 across the 31 of their papers we have counts for
5 papers · 1 filter
Bounded Projection Matrix Approximation with Applications to Community Detection
Zheng Zhai, Hengchao Chen, Qiang Sun
Community detection is an important problem in unsupervised learning. This paper proposes to solve a projection matrix approximation problem with an additional entrywise bounded co…
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices
Hengchao Chen, Xiang Li, Qiang Sun
Non-asymptotic statistical analysis is often missing for modern geometry-aware machine learning algorithms due to the possibly intricate non-linear manifold structure. This paper s…
Variance-aware robust reinforcement learning with linear function approximation under heavy-tailed rewards
Xiang Li, Qiang Sun
This paper presents two algorithms, AdaOFUL and VARA, for online sequential decision-making in the presence of heavy-tailed rewards with only finite variances. For linear stochasti…
Quadratic Matrix Factorization with Applications to Manifold Learning
Zheng Zhai, Hengchao Chen, Qiang Sun
Matrix factorization is a popular framework for modeling low-rank data matrices. Motivated by manifold learning problems, this paper proposes a quadratic matrix factorization (QMF)…
Online Linearized LASSO
Shuoguang Yang, Yuhao Yan, Xiuneng Zhu +1
Sparse regression has been a popular approach to perform variable selection and enhance the prediction accuracy and interpretability of the resulting statistical model. Existing ap…