1 citations · 3 across the 3 of their papers we have counts for
3 papers
math.ST2020★ 1 cited
Inference for Low-rank Tensors -- No Need to Debias
Dong Xia, Anru R. Zhang, Yuchen Zhou
In this paper, we consider the statistical inference for several low-rank tensor models. Specifically, in the Tucker low-rank tensor PCA or regression model, provided with any esti…
math.ST2020★ 1 cited
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Yuchen Zhou, Anru R. Zhang, Lili Zheng +1
This paper studies a general framework for high-order tensor SVD. We propose a new computationally efficient algorithm, tensor-train orthogonal iteration (TTOI), that aims to estim…
math.ST2019★ 1 cited
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference
T. Tony Cai, Anru R. Zhang, Yuchen Zhou
We study sparse group Lasso for high-dimensional double sparse linear regression, where the parameter of interest is simultaneously element-wise and group-wise sparse. This problem…