120 citations · 154 across the 17 of their papers we have counts for
4 papers · 1 filter
On Cross-validation for Sparse Reduced Rank Regression
Yiyuan She, Hoang Tran
In high-dimensional data analysis, regularization methods pursuing sparsity and/or low rank have received a lot of attention recently. To provide a proper amount of shrinkage, it i…
A mixed regularization approach for sparse simultaneous approximation of parameterized PDEs
Nick Dexter, Hoang Tran, Clayton Webster
We present and analyze a novel sparse polynomial technique for the simultaneous approximation of parameterized partial differential equations (PDEs) with deterministic and stochast…
Reconstruction of jointly sparse vectors via manifold optimization
Armenak Petrosyan, Hoang Tran, Clayton Webster
In this paper, we consider the challenge of reconstructing jointly sparse vectors from linear measurements. Firstly, we show that by utilizing the rank of the output data matrix we…
Analysis of sparse recovery for Legendre expansions using envelope bound
Hoang Tran, Clayton Webster
We provide novel sufficient conditions for the uniform recovery of sparse Legendre expansions using minimization, where the sampling points are drawn according to orthogon…