Estimation of high-dimensional low-rank matrices

29 December 2009

Papers citing "Estimation of high-dimensional low-rank matrices"

50 / 176 papers shown

Title
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma Yuling Yan 20 128 0 20 Feb 2019
Error Analysis on Graph Laplacian Regularized Estimator Kaige Yang Xiaowen Dong Laura Toni 16 1 0 11 Feb 2019
On Cross-validation for Sparse Reduced Rank Regression Yiyuan She Hoang Tran 23 15 0 30 Dec 2018
Matrix Completion under Low-Rank Missing Mechanism Xiaojun Mao Raymond K. W. Wong Songxi Chen 22 15 0 19 Dec 2018
Nuclear Norm Regularized Estimation of Panel Regression Models M. Weidner H. Moon 29 48 0 25 Oct 2018
High-dimensional Varying Index Coefficient Models via Stein's Identity Sen Na Zhuoran Yang Zhaoran Wang Mladen Kolar 24 21 0 16 Oct 2018
Exponential weights in multivariate regression and a low-rankness favoring prior A. Dalalyan 37 16 0 25 Jun 2018
Confidence Region of Singular Subspaces for Low-rank Matrix Regression Dong Xia 11 0 0 24 May 2018
Minimax regularization Raphaël Deswarte Guillaume Lecué 15 0 0 17 May 2018
The noise barrier and the large signal bias of the Lasso and other convex estimators Pierre C. Bellec 22 18 0 04 Apr 2018
Optimal link prediction with matrix logistic regression Nicolai Baldin Quentin Berthet 19 17 0 19 Mar 2018
Deconvolution with Unknown Error Distribution Interpreted as Blind Isotonic Regression Devavrat Shah Dogyoon Song 19 0 0 09 Mar 2018
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models S. Majumdar George Michailidis 19 4 0 09 Mar 2018
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization Fanhua Shang Yuanyuan Liu James Cheng 8 43 0 28 Feb 2018
Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach Ming Yu Varun Gupta Mladen Kolar 29 21 0 20 Feb 2018
Nonparametric Estimation of Low Rank Matrix Valued Function Fan Zhou 28 2 0 17 Feb 2018
Adaptive Estimation of Noise Variance and Matrix Estimation via USVT Algorithm Mona Azadkia 21 2 0 28 Jan 2018
Matrix Completion with Nonconvex Regularization: Spectral Operators and Scalable Algorithms Rahul Mazumder Diego Saldana Haolei Weng 28 13 0 24 Jan 2018
Statistically Optimal and Computationally Efficient Low Rank Tensor Completion from Noisy Entries Dong Xia M. Yuan Cun-Hui Zhang 17 65 0 14 Nov 2017
Regret Bounds and Regimes of Optimality for User-User and Item-Item Collaborative Filtering Guy Bresler Mina Karzand 30 14 0 06 Nov 2017
Matrix Completion Methods for Causal Panel Data Models Susan Athey Mohsen Bayati Nikolay Doudchenko Guido Imbens Khashayar Khosravi 30 412 0 27 Oct 2017
Simultaneous Matrix Diagonalization for Structural Brain Networks Classification N. Mokrov Maxim Panov B. Gutman Joshua Faskowitz N. Jahanshad P. Thompson 19 1 0 14 Oct 2017
Inter-Subject Analysis: Inferring Sparse Interactions with Dense Intra-Graphs Cong Ma Junwei Lu Han Liu 16 8 0 20 Sep 2017
Nonnegative matrix factorization with side information for time series recovery and prediction Jiali Mei Yohann De Castro Y. Goude Jean-marc Azais Georges Hébrail AI4TS 11 29 0 19 Sep 2017
Optimal prediction in the linearly transformed spiked model Edgar Dobriban W. Leeb A. Singer 35 20 0 07 Sep 2017
Sequential Inverse Approximation of a Regularized Sample Covariance Matrix Tomer Lancewicki BDL 13 2 0 27 Jul 2017
Regularization of the Kernel Matrix via Covariance Matrix Shrinkage Estimation Tomer Lancewicki 25 4 0 19 Jul 2017
Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model Yihua Li Devavrat Shah Dogyoon Song Chao Yu 15 22 0 13 May 2017
Oracle posterior contraction rates under hierarchical priors Q. Han 9 6 0 25 Apr 2017
On Approximation Guarantees for Greedy Low Rank Optimization Rajiv Khanna Ethan R. Elenberg A. Dimakis S. Negahban 24 24 0 08 Mar 2017
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions Pierre Alquier V. Cottet Guillaume Lecué 40 58 0 05 Feb 2017
Towards the study of least squares estimators with convex penalty Pierre C. Bellec Guillaume Lecué Alexandre B. Tsybakov 30 11 0 31 Jan 2017
Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications Xiaowei Zhang Chi Xu Yu Zhang T. Zhu Li Cheng 22 6 0 11 Jan 2017
A Universal Variance Reduction-Based Catalyst for Nonconvex Low-Rank Matrix Recovery Lingxiao Wang Xiao Zhang Quanquan Gu 35 11 0 09 Jan 2017
Stochastic Variance-reduced Gradient Descent for Low-rank Matrix Recovery from Linear Measurements Xiao Zhang Lingxiao Wang Quanquan Gu 28 6 0 02 Jan 2017
On the Exponentially Weighted Aggregate with the Laplace Prior A. Dalalyan Edwin Grappin Q. Paris 27 19 0 25 Nov 2016
Cross: Efficient Low-rank Tensor Completion Anru R. Zhang 30 54 0 03 Nov 2016
A Unified Computational and Statistical Framework for Nonconvex Low-Rank Matrix Estimation Lingxiao Wang Xiao Zhang Quanquan Gu 19 80 0 17 Oct 2016
Estimation of low rank density matrices by Pauli measurements Dong Xia 34 3 0 16 Oct 2016
Recovering Multiple Nonnegative Time Series From a Few Temporal Aggregates Jiali Mei Yohann De Castro Y. Goude Georges Hébrail AI4TS 13 3 0 05 Oct 2016
Max-Norm Optimization for Robust Matrix Recovery Ethan X. Fang Han Liu Kim-Chuan Toh Wen-Xin Zhou 24 34 0 24 Sep 2016
Regularization and the small-ball method II: complexity dependent error rates Guillaume Lecué S. Mendelson 24 38 0 27 Aug 2016
Adaptive confidence sets for matrix completion Alexandra Carpentier Olga Klopp Matthias Loffler Richard Nickl 35 27 0 17 Aug 2016
Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization Fanhua Shang Yuanyuan Liu James Cheng 19 52 0 04 Jun 2016
Methods for Sparse and Low-Rank Recovery under Simplex Constraints Ping Li Syama Sundar Rangapuram M. Slawski 19 18 0 02 May 2016
Robust Low-Rank Matrix Estimation A. Elsener Sara van de Geer 27 44 0 30 Mar 2016
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery Jianqing Fan Weichen Wang Ziwei Zhu 49 96 0 28 Mar 2016
Optimal large-scale quantum state tomography with Pauli measurements Tony Cai Donggyu Kim Yazhen Wang M. Yuan Harrison H. Zhou 12 28 0 24 Mar 2016
Regularization and the small-ball method I: sparse recovery Guillaume Lecué S. Mendelson 8 93 0 21 Jan 2016
Fitting Spectral Decay with the $k$ -Support Norm Andrew M. McDonald Massimiliano Pontil Dimitris Stamos 19 12 0 04 Jan 2016