Nuclear norm penalization and optimal rates for noisy low rank matrix completion

29 November 2010

Papers citing "Nuclear norm penalization and optimal rates for noisy low rank matrix completion"

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Title
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion Jingyang Li Jiuqian Shang Yang Chen 24 0 0 16 May 2025
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 40 0 0 05 Apr 2025
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe C. M. Verdun Hannah Laus Felix Krahmer Holger Rauhut UQCV 38 1 0 18 Jul 2024
Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness Xiaojun Mao Hengfang Wang Zhonglei Wang Shu Yang 22 3 0 06 Feb 2024
Misclassification excess risk bounds for 1-bit matrix completion The Tien Mai 29 0 0 20 Dec 2023
Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem Simon Segert 45 0 0 18 Nov 2023
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model Runshi Tang M. Yuan Anru R. Zhang 55 3 0 02 Jul 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA Yuchen Zhou Yuxin Chen 48 4 0 10 Mar 2023
Two-sided Matrix Regression Nayel Bettache C. Butucea 38 0 0 08 Mar 2023
Quantized Low-Rank Multivariate Regression with Random Dithering Junren Chen Yueqi Wang Michael Kwok-Po Ng 39 5 0 22 Feb 2023
Causal Inference (C-inf) -- asymmetric scenario of typical phase transitions A. Capponi M. Stojnic 53 4 0 02 Jan 2023
Causal Inference (C-inf) -- closed form worst case typical phase transitions A. Capponi M. Stojnic 29 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 33 14 0 30 Dec 2022
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models Qiong Wu Jian Li Zhenming Liu Jun Luo Mihai Cucuringu 36 4 0 01 Dec 2022
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency Yunxiao Chen Xiaoou Li 34 0 0 17 Nov 2022
$Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty$ Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty Nathan Wycoff Ali Arab Katharine M. Donato Lisa O. Singh 31 3 0 09 Nov 2022
Robust Methods for High-Dimensional Linear Learning Ibrahim Merad Stéphane Gaïffas OOD 57 3 0 10 Aug 2022
Optimal tuning-free convex relaxation for noisy matrix completion Yuepeng Yang Cong Ma 33 8 0 12 Jul 2022
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates Takeyuki Sasai 31 4 0 15 Jun 2022
Robust Matrix Completion with Heavy-tailed Noise Bingyan Wang Jianqing Fan 26 4 0 09 Jun 2022
Adaptive Sampling for Discovery Ziping Xu Eunjae Shim Ambuj Tewari Paul M. Zimmerman OffRL 22 4 0 30 May 2022
Generalization Error Bounds for Multiclass Sparse Linear Classifiers Tomer Levy F. Abramovich 32 5 0 13 Apr 2022
Noisy Tensor Completion via Low-rank Tensor Ring Yuning Qiu Guoxu Zhou Qibin Zhao Shengli Xie 27 36 0 14 Mar 2022
Tensor Completion for Causal Inference with Multivariate Longitudinal Data: A Reevaluation of COVID-19 Mandates Jonathan Auerbach M. Slawski Shixue Zhang 21 0 0 09 Mar 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 33 0 0 05 Jan 2022
One-Bit Matrix Completion with Differential Privacy Zhengpin Li Zheng Wei Zengfeng Huang Xiaojun Mao Jian Wang 32 0 0 02 Oct 2021
Inference for Low-Rank Models Victor Chernozhukov Christian B. Hansen Yuan Liao Yinchu Zhu 17 11 0 06 Jul 2021
Matrix Completion with Model-free Weighting Jiayi Wang R. K. Wong Xiaojun Mao Kwun Chuen Gary Chan 34 5 0 09 Jun 2021
Matrix completion with data-dependent missingness probabilities Sohom Bhattacharya S. Chatterjee 32 18 0 04 Jun 2021
Statistical Inference for Noisy Incomplete Binary Matrix Yunxiao Chen Chengcheng Li Ouyang Jing Gongjun Xu 24 7 0 04 May 2021
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization Jian-Feng Cai Jingyang Li Dong Xia 56 30 0 16 Mar 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 57 166 0 15 Dec 2020
Recursive Importance Sketching for Rank Constrained Least Squares: Algorithms and High-order Convergence Yuetian Luo Wen Huang Xudong Li Anru R. Zhang 23 15 0 17 Nov 2020
Mapping individual differences in cortical architecture using multi-view representation learning A. Sellami Franccois-Xavier Dupé Bastien Cagna Hachem Kadri Stéphane Ayache Thierry Artières S. Takerkart 24 10 0 01 Apr 2020
Aggregated hold out for sparse linear regression with a robust loss function G. Maillard FedML 31 1 0 26 Feb 2020
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation Rungang Han Rebecca Willett Anru R. Zhang 34 65 0 26 Feb 2020
Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data Yuxin Chen Jianqing Fan Cong Ma Yuling Yan 23 52 0 15 Jan 2020
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching Anru R. Zhang Yuetian Luo Garvesh Raskutti M. Yuan 43 44 0 09 Nov 2019
Weighted matrix completion from non-random, non-uniform sampling patterns S. Foucart Deanna Needell Reese Pathak Y. Plan Mary Wootters 24 27 0 30 Oct 2019
How well can we learn large factor models without assuming strong factors? Yinchu Zhu OOD 23 0 0 23 Oct 2019
High-dimensional principal component analysis with heterogeneous missingness Ziwei Zhu Tengyao Wang R. Samworth 50 47 0 28 Jun 2019
Factor Models for High-Dimensional Tensor Time Series Rong Chen Dan Yang Cun-Hui Zhang AI4TS 41 90 0 18 May 2019
Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot Guillaume Lecué M. Lerasle 29 18 0 10 May 2019
On the convex geometry of blind deconvolution and matrix completion Felix Krahmer Dominik Stöger 21 18 0 28 Feb 2019
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma Yuling Yan 22 128 0 20 Feb 2019
Adaptive Quantile Low-Rank Matrix Factorization Shuang Xu Chunxia Zhang Jiangshe Zhang 30 12 0 01 Jan 2019
Matrix Completion under Low-Rank Missing Mechanism Xiaojun Mao Raymond K. W. Wong Songxi Chen 27 15 0 19 Dec 2018
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models Gen Li Xiaokang Liu Kun Chen 30 6 0 26 Jul 2018
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations Cheng Mao A. Pananjady Martin J. Wainwright 23 13 0 25 Jun 2018
Streaming PCA and Subspace Tracking: The Missing Data Case Laura Balzano Yuejie Chi Yue M. Lu 13 84 0 12 Jun 2018