Matrix estimation by Universal Singular Value Thresholding

6 December 2012

Papers citing "Matrix estimation by Universal Singular Value Thresholding"

50 / 248 papers shown

Title
Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling Carolyn Kim Mohsen Bayati 11 0 0 26 Feb 2020
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel A. Madry AAML 78 820 0 19 Feb 2020
Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choice Arjun Seshadri J. Ugander 10 7 0 20 Jan 2020
High Dimensional Latent Panel Quantile Regression with an Application to Asset Pricing A. Belloni Mingli Chen Oscar Hernan Madrid Padilla Zixuan Wang Wang 13 16 0 04 Dec 2019
Change point localization in dependent dynamic nonparametric random dot product graphs Oscar Hernan Madrid Padilla Yi Yu Carey E. Priebe 9 27 0 18 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 13 103 0 13 Nov 2019
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption Wei-Ying Ma George H. Chen 18 49 0 28 Oct 2019
A Unified Framework for Tuning Hyperparameters in Clustering Problems Xinjie Fan Yuguang Yue Purnamrita Sarkar Y. X. R. Wang 14 2 0 17 Oct 2019
Matrix Means and a Novel High-Dimensional Shrinkage Phenomenon A. Lodhia Keith D. Levin Elizaveta Levina 21 3 0 16 Oct 2019
$Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees$ Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees Changxiao Cai Gen Li Yuejie Chi H. Vincent Poor Yuxin Chen 27 13 0 09 Oct 2019
A deterministic theory of low rank matrix completion S. Chatterjee 14 26 0 02 Oct 2019
Rejoinder on: Minimal penalties and the slope heuristics: a survey Sylvain Arlot 11 45 0 30 Sep 2019
Harnessing Structures for Value-Based Planning and Reinforcement Learning Yuzhe Yang Guo Zhang Zhi Xu Dina Katabi OffRL 14 31 0 26 Sep 2019
Latent Distance Estimation for Random Geometric Graphs Ernesto Araya Valdivia Yohann De Castro OT 16 23 0 15 Sep 2019
Automated Spectral Kernel Learning Jian Li Yong Liu Weiping Wang 10 14 0 11 Sep 2019
Change-point detection in dynamic networks via graphon estimation Zifeng Zhao Li Chen Lizhen Lin 15 34 0 05 Aug 2019
Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative Filtering Devavrat Shah C. Yu 24 0 0 03 Aug 2019
Low-rank matrix completion and denoising under Poisson noise Andrew D. McRae Mark A. Davenport 14 19 0 11 Jul 2019
Graphon Estimation from Partially Observed Network Data Soumendu Sundar Mukherjee Sayak Chakrabarti 19 5 0 02 Jun 2019
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation Yuzhe Yang Guo Zhang Dina Katabi Zhi Xu AAML 5 168 0 28 May 2019
Vertex Nomination, Consistent Estimation, and Adversarial Modification Joshua Agterberg Youngser Park Jonathan Larson Christopher M. White Carey E. Priebe V. Lyzinski 27 16 0 06 May 2019
Optimal Bayesian Estimation for Random Dot Product Graphs Fangzheng Xie Yanxun Xu 6 13 0 26 Apr 2019
Optimal Adaptivity of Signed-Polygon Statistics for Network Testing Jiashun Jin Z. Ke Shengming Luo 28 43 0 21 Apr 2019
Bayesian estimation of the latent dimension and communities in stochastic blockmodels Francesco Sanna Passino N. Heard BDL 6 25 0 06 Apr 2019
Estimation of Monge Matrices Jan-Christian Hütter Cheng Mao Philippe Rigollet Elina Robeva 18 8 0 05 Apr 2019
Consistency and Asymptotic Normality of Stochastic Block Models Estimators from Sampled Data M. Mariadassou Timothée Tabouy 10 8 0 28 Mar 2019
On Robustness of Principal Component Regression Anish Agarwal Devavrat Shah Dennis Shen Dogyoon Song 16 81 0 28 Feb 2019
Maximum Likelihood Estimation of Sparse Networks with Missing Observations Solenne Gaucher Olga Klopp 43 13 0 27 Feb 2019
Phase Transition in the Recovery of Rank One Matrices Corrupted by Gaussian Noise Enrico Au-Yeung Greg Zanotti 17 0 0 31 Jan 2019
On the Dimensionality of Word Embedding Zi Yin Yuanyuan Shen 16 189 0 11 Dec 2018
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing Chao Gao Zongming Ma 16 34 0 14 Nov 2018
Heteroskedastic PCA: Algorithm, Optimality, and Applications Anru R. Zhang T. Tony Cai Yihong Wu 22 69 0 19 Oct 2018
Adapting to Unknown Noise Distribution in Matrix Denoising Andrea Montanari Feng Ruan Jun Yan 21 13 0 06 Oct 2018
Social Choice Random Utility Models of Intransitive Pairwise Comparisons Rahul M. Makhijani 9 2 0 05 Oct 2018
Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation C. Borgs J. Chayes Adam D. Smith Ilias Zadik FedML 16 46 0 04 Oct 2018
Hierarchical community detection by recursive partitioning Tianxi Li Lihua Lei Sharmodeep Bhattacharyya Koen Van den Berge Purnamrita Sarkar Peter J. Bickel Elizaveta Levina 11 78 0 02 Oct 2018
On a 'Two Truths' Phenomenon in Spectral Graph Clustering Carey E. Priebe Youngser Park Joshua T. Vogelstein John M. Conroy V. Lyzinski M. Tang A. Athreya Joshua Cape Eric W. Bridgeford 13 71 0 23 Aug 2018
Consistent polynomial-time unseeded graph matching for Lipschitz graphons Yuan Zhang 9 3 0 29 Jul 2018
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations Cheng Mao A. Pananjady Martin J. Wainwright 13 13 0 25 Jun 2018
Spectral Clustering for Multiple Sparse Networks: I Sharmodeep Bhattacharyya S. Chatterjee 14 40 0 27 May 2018
Distributed Cartesian Power Graph Segmentation for Graphon Estimation Shitong Wei Oscar Hernan Madrid Padilla James Sharpnack 15 1 0 25 May 2018
Learning tensors from partial binary measurements Navid Ghadermarzy Y. Plan Özgür Yilmaz MQ 13 34 0 31 Mar 2018
Binary Matrix Completion Using Unobserved Entries M. Hayashi Tomoya Sakai Masashi Sugiyama 16 1 0 13 Mar 2018
Representation Learning and Recovery in the ReLU Model A. Mazumdar A. S. Rawat 8 6 0 12 Mar 2018
Link prediction for egocentrically sampled networks Yun-Jhong Wu Elizaveta Levina Ji Zhu EgoV 17 14 0 12 Mar 2018
Deconvolution with Unknown Error Distribution Interpreted as Blind Isotonic Regression Devavrat Shah Dogyoon Song 14 0 0 09 Mar 2018
Matched Filters for Noisy Induced Subgraph Detection D. Sussman Youngser Park Carey E. Priebe V. Lyzinski 16 31 0 06 Mar 2018
Understand Functionality and Dimensionality of Vector Embeddings: the Distributional Hypothesis, the Pairwise Inner Product Loss and Its Bias-Variance Trade-off Zi Yin 26 8 0 01 Mar 2018
$Breaking the $1/\sqrt{n}$ Barrier: Faster Rates for Permutation-based Models in Polynomial Time$ Breaking the $1/\sqrt{n}$ Barrier: Faster Rates for Permutation-based Models in Polynomial Time Cheng Mao A. Pananjady Martin J. Wainwright 28 13 0 27 Feb 2018
Network Representation Using Graph Root Distributions Jing Lei 43 31 0 27 Feb 2018