Statistical Inferences of Linear Forms for Noisy Matrix Completion

31 August 2019

Papers citing "Statistical Inferences of Linear Forms for Noisy Matrix Completion"

9 / 9 papers shown

Title
Fast and Provable Tensor-Train Format Tensor Completion via Precondtioned Riemannian Gradient Descent Fengmiao Bian Jian-Feng Cai Xiaoqun Zhang Yuanwei Zhang 78 0 0 23 Jan 2025
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency Yunxiao Chen Xiaoou Li 27 0 0 17 Nov 2022
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model Zhongyuan Lyu Dong Xia 29 3 0 11 Jul 2022
Robust Matrix Completion with Heavy-tailed Noise Bingyan Wang Jianqing Fan 21 4 0 09 Jun 2022
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms Joshua Agterberg Jeremias Sulam 31 0 0 08 Feb 2022
Statistical Inference for Noisy Incomplete Binary Matrix Yunxiao Chen Chengcheng Li Ouyang Jing Gongjun Xu 20 7 0 04 May 2021
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality Changxiao Cai H. Vincent Poor Yuxin Chen 13 23 0 15 Jun 2020
Edgeworth expansions for network moments Yuan Zhang Dong Xia 32 25 0 14 Apr 2020
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition Bing-Yi Jing Ting Li Zhongyuan Lyu Dong Xia 40 64 0 10 Feb 2020