Matrix estimation by Universal Singular Value Thresholding

6 December 2012

Papers citing "Matrix estimation by Universal Singular Value Thresholding"

50 / 258 papers shown

Title
Central limit theorems for local network statistics P. Maugis GNN 138 6 0 28 Jun 2020
Estimation of Skill Distributions Ali Jadbabaie A. Makur Devavrat Shah 134 5 0 15 Jun 2020
Sample Efficient Reinforcement Learning via Low-Rank Matrix EstimationNeural Information Processing Systems (NeurIPS), 2020 Devavrat Shah Dogyoon Song Zhi Xu Yuzhe Yang 275 34 0 11 Jun 2020
Optimal singular value shrinkage for operator norm loss W. Leeb 187 12 0 24 May 2020
Detection thresholds in very sparse matrix completion C. Bordenave Simon Coste R. Nadakuditi 228 27 0 12 May 2020
Vertex Nomination in Richly Attributed Networks Keith D. Levin Carey E. Priebe V. Lyzinski 3DH 169 1 0 29 Apr 2020
Estimation Methods for Item Factor Analysis: An Overview Yunxiao Chen Siliang Zhang CML 44 7 0 16 Apr 2020
Edgeworth expansions for network momentsAnnals of Statistics (Ann. Stat.), 2020 Yuan Zhang Dong Xia 225 31 0 14 Apr 2020
General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers Sharmodeep Bhattacharyya Sabyasachi Chatterjee 167 14 0 06 Apr 2020
Nonconvex Matrix Completion with Linearly Parameterized FactorsJournal of machine learning research (JMLR), 2020 Ji Chen Xiaodong Li Zongming Ma 235 3 0 29 Mar 2020
Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active SamplingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Carolyn Kim Mohsen Bayati 147 0 0 26 Feb 2020
On Adaptive Attacks to Adversarial Example DefensesNeural Information Processing Systems (NeurIPS), 2020 Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Madry AAML 550 902 0 19 Feb 2020
Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete ChoiceACM Conference on Economics and Computation (EC), 2019 Arjun Seshadri J. Ugander 151 9 0 20 Jan 2020
High Dimensional Latent Panel Quantile Regression with an Application to Asset PricingAnnals of Statistics (Ann. Stat.), 2019 A. Belloni Mingli Chen Oscar Hernan Madrid Padilla Zixuan Wang Wang 235 18 0 04 Dec 2019
Change point localization in dependent dynamic nonparametric random dot product graphsJournal of machine learning research (JMLR), 2019 Oscar Hernan Madrid Padilla Yi Yu Carey E. Priebe 267 29 0 18 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 210 113 0 13 Nov 2019
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm AssumptionNeural Information Processing Systems (NeurIPS), 2019 Wei-Ying Ma George H. Chen 220 55 0 28 Oct 2019
A Unified Framework for Tuning Hyperparameters in Clustering ProblemsStatistica sinica (Stat. Sinica), 2019 Xinjie Fan Yuguang Yue Purnamrita Sarkar Y. X. R. Wang 212 2 0 17 Oct 2019
Matrix Means and a Novel High-Dimensional Shrinkage PhenomenonBernoulli (Bernoulli), 2019 A. Lodhia Keith D. Levin Elizaveta Levina 150 4 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 356 13 0 09 Oct 2019
A deterministic theory of low rank matrix completionIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019 S. Chatterjee 281 27 0 02 Oct 2019
Rejoinder on: Minimal penalties and the slope heuristics: a survey Sylvain Arlot 142 48 0 30 Sep 2019
Harnessing Structures for Value-Based Planning and Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2019 Yuzhe Yang Guo Zhang Zhi Xu Dina Katabi OffRL 324 38 0 26 Sep 2019
Latent Distance Estimation for Random Geometric GraphsNeural Information Processing Systems (NeurIPS), 2019 Ernesto Araya Valdivia Yohann De Castro OT 167 23 0 15 Sep 2019
Automated Spectral Kernel LearningAAAI Conference on Artificial Intelligence (AAAI), 2019 Jian Li Yong Liu Weiping Wang 121 14 0 11 Sep 2019
Change-point detection in dynamic networks via graphon estimation Zifeng Zhao Li Chen Lizhen Lin 171 35 0 05 Aug 2019
Robust Max Entrywise Error Bounds for Tensor Estimation from Sparse Observations via Similarity Based Collaborative FilteringIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019 Devavrat Shah Chao Yu 343 1 0 03 Aug 2019
Low-rank matrix completion and denoising under Poisson noiseInformation and Inference A Journal of the IMA (JIII), 2019 Andrew D. McRae Mark A. Davenport 164 21 0 11 Jul 2019
Graphon Estimation from Partially Observed Network Data Soumendu Sundar Mukherjee Sayak Chakrabarti 128 6 0 02 Jun 2019
ME-Net: Towards Effective Adversarial Robustness with Matrix EstimationInternational Conference on Machine Learning (ICML), 2019 Yuzhe Yang Guo Zhang Dina Katabi Zhi Xu AAML 178 174 0 28 May 2019
Vertex Nomination, Consistent Estimation, and Adversarial ModificationElectronic Journal of Statistics (EJS), 2019 Joshua Agterberg Youngser Park Jonathan Larson Christopher M. White Carey E. Priebe V. Lyzinski 268 17 0 06 May 2019
Optimal Bayesian Estimation for Random Dot Product Graphs Fangzheng Xie Yanxun Xu 97 17 0 26 Apr 2019
Optimal Adaptivity of Signed-Polygon Statistics for Network Testing Jiashun Jin Z. Ke Shengming Luo 206 47 0 21 Apr 2019
Bayesian estimation of the latent dimension and communities in stochastic blockmodels Francesco Sanna Passino N. Heard BDL 184 27 0 06 Apr 2019
Estimation of Monge Matrices Jan-Christian Hütter Cheng Mao Philippe Rigollet Elina Robeva 125 10 0 05 Apr 2019
Consistency and Asymptotic Normality of Stochastic Block Models Estimators from Sampled Data M. Mariadassou Timothée Tabouy 156 9 0 28 Mar 2019
On Robustness of Principal Component RegressionNeural Information Processing Systems (NeurIPS), 2019 Anish Agarwal Devavrat Shah Dennis Shen Dogyoon Song 597 85 0 28 Feb 2019
Maximum Likelihood Estimation of Sparse Networks with Missing Observations Solenne Gaucher Olga Klopp 205 15 0 27 Feb 2019
Phase Transition in the Recovery of Rank One Matrices Corrupted by Gaussian Noise Enrico Au-Yeung Greg Zanotti 50 0 0 31 Jan 2019
On the Dimensionality of Word Embedding Zi Yin Yuanyuan Shen 171 208 0 11 Dec 2018
Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing Chao Gao Zongming Ma 535 40 0 14 Nov 2018
Heteroskedastic PCA: Algorithm, Optimality, and Applications Anru R. Zhang T. Tony Cai Yihong Wu 420 80 0 19 Oct 2018
Adapting to Unknown Noise Distribution in Matrix Denoising Andrea Montanari Feng Ruan Jun Yan 278 13 0 06 Oct 2018
Social Choice Random Utility Models of Intransitive Pairwise Comparisons Rahul M. Makhijani 59 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 130 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 273 84 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 165 78 0 23 Aug 2018
Consistent polynomial-time unseeded graph matching for Lipschitz graphons Yuan Zhang 112 4 0 29 Jul 2018
Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations Cheng Mao A. Pananjady Martin J. Wainwright 231 15 0 25 Jun 2018
Spectral Clustering for Multiple Sparse Networks: I Sharmodeep Bhattacharyya Sabyasachi Chatterjee 166 42 0 27 May 2018