7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Adaptive regularization parameter selection for high-dimensional inverse problems: A Bayesian approach with Tucker low-rank constraints
Qing-Mei Yang, Da-Qing Zhang
This paper introduces a novel variational Bayesian method that integrates Tucker decomposition for efficient high-dimensional inverse problem solving. The method reduces computatio…
math.ST2020★ 7 cited
Power Iteration for Tensor PCA
Jiaoyang Huang, Daniel Z. Huang, Qing Yang +1
In this paper, we study the power iteration algorithm for the spiked tensor model, as introduced in [44]. We give necessary and sufficient conditions for the convergence of the pow…
math.ST2018★ 3 cited
Quadratic Discriminant Analysis under Moderate Dimension
Qing Yang, Guang Cheng
Quadratic discriminant analysis (QDA) is a simple method to classify a subject into two populations, and was proven to perform as well as the Bayes rule when the data dimension p i…