4 papers
The Grimmer--Shu--Wang Certificate and the Drori--Teboulle Minimax Constant-Stepsize Bound for
Lixing Zhang
We prove, for every horizon \(N\ge 3\), the existence of the strengthened low-rank performance-estimation certificate proposed by Grimmer, Shu, and Wang for the Drori--Teboulle con…
Byzantine-Robust Distributed Sparse Learning Revisited
Yuxuan Wang, Lixin Zhang, Kangqiang Li
We revisit Byzantine robust distributed estimation for high-dimensional sparse linear models. By combining local -regularized robust estimation with robust aggregation at t…
Robust parameter estimation of regression model under weakened moment assumptions
Kangqiang Li, Songqiao Tang, Lixin Zhang
This paper provides some extended results on estimating parameter matrix of several regression models when the covariate or response possesses weaker moment condition. We study the…
Robust covariance estimation for distributed principal component analysis
Kangqiang Li, Han Bao, Lixin Zhang
Fan et al. [ (6) (2019) 3009-3031] constructed a distributed principal component analysis (PCA) algorithm to reduc…