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1212.1247
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Matrix estimation by Universal Singular Value Thresholding
6 December 2012
S. Chatterjee
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Papers citing
"Matrix estimation by Universal Singular Value Thresholding"
50 / 248 papers shown
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Spectral State Compression of Markov Processes
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Adaptive Estimation of Noise Variance and Matrix Estimation via USVT Algorithm
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Iterative Collaborative Filtering for Sparse Matrix Estimation
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Robust Synthetic Control
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Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA
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F. M. F. Wong
Zhenming Liu
Varun Kanade
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Minimax Rates and Efficient Algorithms for Noisy Sorting
Cheng Mao
Jonathan Niles-Weed
Philippe Rigollet
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Matrix Completion Methods for Causal Panel Data Models
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Mohsen Bayati
Nikolay Doudchenko
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Projective, Sparse, and Learnable Latent Position Network Models
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C. Shalizi
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Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank
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Jianqing Fan
Kaizheng Wang
Yiqiao Zhong
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Statistical inference on random dot product graphs: a survey
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Rates of Convergence of Spectral Methods for Graphon Estimation
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Low Permutation-rank Matrices: Structural Properties and Noisy Completion
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Adaptive Estimation of Nonparametric Geometric Graphs
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C. Lacour
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Worst-case vs Average-case Design for Estimation from Fixed Pairwise Comparisons
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Cheng Mao
Vidya Muthukumar
Martin J. Wainwright
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Structured Matrix Estimation and Completion
Olga Klopp
Yu Lu
Alexandre B. Tsybakov
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Multi-sample Estimation of Bacterial Composition Matrix in Metagenomics Data
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Anru R. Zhang
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Provable Estimation of the Number of Blocks in Block Models
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Why are Big Data Matrices Approximately Low Rank?
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Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model
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Devavrat Shah
Dogyoon Song
Chao Yu
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Semiparametric spectral modeling of the Drosophila connectome
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Exploration of Large Networks with Covariates via Fast and Universal Latent Space Model Fitting
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Matchability of heterogeneous networks pairs
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Denoising Linear Models with Permuted Data
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Reducing Crowdsourcing to Graphon Estimation, Statistically
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Christina E. Lee
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Asymptotic performance of PCA for high-dimensional heteroscedastic data
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Laura Balzano
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Optimal graphon estimation in cut distance
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On the Power of Truncated SVD for General High-rank Matrix Estimation Problems
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Yining Wang
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Network cross-validation by edge sampling
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Elizaveta Levina
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A Semidefinite Program for Structured Blockmodels
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Sharper Bounds for Regularized Data Fitting
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Towards a Theoretical Analysis of PCA for Heteroscedastic Data
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Connectome Smoothing via Low-rank Approximations
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Adaptive confidence sets for matrix completion
Alexandra Carpentier
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Linear Regression with an Unknown Permutation: Statistical and Computational Limits
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Martin J. Wainwright
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Optimal Rates of Statistical Seriation
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Information Recovery in Shuffled Graphs via Graph Matching
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Rate-Optimal Perturbation Bounds for Singular Subspaces with Applications to High-Dimensional Statistics
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On Estimation in Tournaments and Graphs under Monotonicity Constraints
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Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements
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