Noisy low-rank matrix completion with general sampling distribution

1 March 2012

Papers citing "Noisy low-rank matrix completion with general sampling distribution"

50 / 102 papers shown

Title
Computational Efficient Informative Nonignorable Matrix Completion: A Row- and Column-Wise Matrix U-Statistic Pseudo-Likelihood Approach Yuanhong A Guoyu Zhang Yongcheng Zeng Bo Zhang 28 0 0 05 Apr 2025
$Theoretical limits of descending $\ell_0$ sparse-regression ML algorithms$ Theoretical limits of descending $\ell_0$ sparse-regression ML algorithms Mihailo Stojnic 21 0 0 10 Oct 2024
$Concentration properties of fractional posterior in 1-bit matrix completion$ Concentration properties of fractional posterior in 1-bit matrix completion The Tien Mai 25 3 0 13 Apr 2024
Deep Learning based Spatially Dependent Acoustical Properties Recovery Ruixian Liu Peter Gerstoft 8 0 0 17 Oct 2023
Provable Tensor Completion with Graph Information Kaidong Wang Yao Wang Xiuwu Liao Shaojie Tang Can Yang Deyu Meng 20 0 0 04 Oct 2023
Transductive Matrix Completion with Calibration for Multi-Task Learning Hengfang Wang Yasi Zhang Xiaojun Mao Zhonglei Wang 16 1 0 20 Feb 2023
Causal Inference (C-inf) -- asymmetric scenario of typical phase transitions A. Capponi M. Stojnic 22 4 0 02 Jan 2023
Causal Inference (C-inf) -- closed form worst case typical phase transitions A. Capponi M. Stojnic 11 2 0 02 Jan 2023
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery Junren Chen Michael Kwok-Po Ng Di Wang MQ 19 12 0 30 Dec 2022
Always Valid Risk Monitoring for Online Matrix Completion ChiHua Wang Wenjie Li CLL 14 1 0 18 Nov 2022
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency Yunxiao Chen Xiaoou Li 19 0 0 17 Nov 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 22 4 0 24 Aug 2022
Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling HanQin Cai Longxiu Huang Pengyu Li Deanna Needell 25 16 0 20 Aug 2022
Optimal tuning-free convex relaxation for noisy matrix completion Yuepeng Yang Cong Ma 24 8 0 12 Jul 2022
Optimal quasi-Bayesian reduced rank regression with incomplete response The Tien Mai Pierre Alquier 23 2 0 17 Jun 2022
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates Takeyuki Sasai 18 4 0 15 Jun 2022
Robust Matrix Completion with Heavy-tailed Noise Bingyan Wang Jianqing Fan 18 3 0 09 Jun 2022
Noisy Tensor Completion via Low-rank Tensor Ring Yuning Qiu Guoxu Zhou Qibin Zhao Shengli Xie 11 36 0 14 Mar 2022
High Dimensional Statistical Estimation under Uniformly Dithered One-bit Quantization Junren Chen Cheng-Long Wang Michael Kwok-Po Ng Di Wang MQ 19 17 0 26 Feb 2022
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss Junren Chen Michael Kwok-Po Ng 6 20 0 04 Feb 2022
Learning to Recommend Using Non-Uniform Data W. Chen Mohsen Bayati CML 10 1 0 21 Oct 2021
Inference for Low-Rank Models Victor Chernozhukov Christian B. Hansen Yuan Liao Yinchu Zhu 9 11 0 06 Jul 2021
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery Junhui Zhang Jingkai Yan John N. Wright 22 6 0 17 Jun 2021
Matrix Completion with Model-free Weighting Jiayi Wang R. K. Wong Xiaojun Mao Kwun Chuen Gary Chan 29 5 0 09 Jun 2021
Matrix completion with data-dependent missingness probabilities Sohom Bhattacharya S. Chatterjee 14 18 0 04 Jun 2021
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices D. Zhou Tianxi Cai Junwei Lu 55 8 0 21 May 2021
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure Yunhua Xiang Tianyu Zhang Xu Wang Ali Shojaie N. Simon 11 1 0 05 May 2021
PAC-Bayesian Matrix Completion with a Spectral Scaled Student Prior The Tien Mai 23 2 0 16 Apr 2021
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes Ruipeng Dong Daoji Li Zemin Zheng 35 3 0 11 Apr 2021
Tight Risk Bound for High Dimensional Time Series Completion Pierre Alquier Nicolas Marie Amélie Rosier 14 1 0 15 Feb 2021
Matrix optimization based Euclidean embedding with outliers Qian Zhang Xinyuan Zhao Chao Ding 20 2 0 23 Dec 2020
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 19 165 0 15 Dec 2020
Outlier-robust sparse/low-rank least-squares regression and robust matrix completion Philip Thompson 17 9 0 12 Dec 2020
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion Takeyuki Sasai Hironori Fujisawa 17 0 0 25 Oct 2020
Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle Lijun Ding Yuqian Zhang Yudong Chen 11 1 0 31 Aug 2020
Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision Making Jie Zhou Botao Hao Zheng Wen Jingfei Zhang W. Sun 22 6 0 31 Jul 2020
Median Matrix Completion: from Embarrassment to Optimality Weidong Liu Xiaojun Mao Raymond K. W. Wong 11 2 0 18 Jun 2020
Robust Matrix Completion with Mixed Data Types Daqian Sun M. Wells 11 0 0 25 May 2020
Low-rank matrix denoising for count data using unbiased Kullback-Leibler risk estimation Jérémie Bigot Charles-Alban Deledalle 4 5 0 28 Jan 2020
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data Yuxin Chen Jianqing Fan Cong Ma Yuling Yan 14 50 0 15 Jan 2020
Outliers Detection in Networks with Missing Links Solenne Gaucher Olga Klopp Geneviève Robin 4 0 0 29 Nov 2019
Weighted matrix completion from non-random, non-uniform sampling patterns S. Foucart Deanna Needell Reese Pathak Y. Plan Mary Wootters 9 27 0 30 Oct 2019
Deterministic tensor completion with hypergraph expanders K. Harris Yizhe Zhu 20 11 0 23 Oct 2019
Goodness-of-fit tests on manifolds A. Shapiro Yao Xie Rui Zhang 13 5 0 11 Sep 2019
Statistical Inferences of Linear Forms for Noisy Matrix Completion Dong Xia M. Yuan 11 41 0 31 Aug 2019
Low-rank matrix completion and denoising under Poisson noise Andrew D. McRae Mark A. Davenport 14 19 0 11 Jul 2019
Tensor p-shrinkage nuclear norm for low-rank tensor completion Chunsheng Liu Hong Shan Chunlei Chen 10 22 0 09 Jul 2019
Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot Guillaume Lecué M. Lerasle 13 18 0 10 May 2019
Square-root nuclear norm penalized estimator for panel data models with approximately low-rank unobserved heterogeneity Jad Beyhum Eric Gautier 13 10 0 19 Apr 2019
On Low-rank Trace Regression under General Sampling Distribution N. Hamidi Mohsen Bayati 14 14 0 18 Apr 2019