Completing Any Low-rank Matrix, Provably (English)
- New search for: Chen, Yudong
- New search for: Bhojanapalli, Srinadh
- New search for: Sanghavi, Sujay
- New search for: Ward, Rachel
- New search for: Chen, Yudong
- New search for: Bhojanapalli, Srinadh
- New search for: Sanghavi, Sujay
- New search for: Ward, Rachel
In:
Journal of machine learning research
;
16
, 3
;
2999-3034
;
2016
-
ISSN:
- Article (Journal) / Print
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Title:Completing Any Low-rank Matrix, Provably
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Contributors:Chen, Yudong ( author ) / Bhojanapalli, Srinadh ( author ) / Sanghavi, Sujay ( author ) / Ward, Rachel ( author )
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Published in:Journal of machine learning research ; 16, 3 ; 2999-3034
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Publisher:
- New search for: THE MIT PRESS
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Publication date:2016-01-01
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Size:36 pages
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ISSN:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 006
- Further information on Dewey Decimal Classification
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Classification:
DDC: 006 -
Source:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Table of contents – Volume 16, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 2611
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pyGPs — A Python Library for Gaussian Process Regression and ClassificationNeumann, Marion / Huang, Shan / Marthaler, Daniel E. / Kersting, Kristian et al. | 2016
- 2617
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Derivative Estimation Based on Difference Sequence via Locally Weighted Least Squares RegressionWang, WenWu / Lin, Lu et al. | 2016
- 2643
-
When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured SparsityAnandkumar, Animashree / Hsu, Daniel / Janzamin, Majid / Kakade, Sham et al. | 2016
- 2695
-
Absent Data Generating Classifier for Imbalanced Class SizesPourhabib, Arash / Mallick, Bani K. / Ding, Yu et al. | 2016
- 2725
-
Decision Boundary for Discrete Bayesian Network ClassifiersVarando, Gherardo / Bielza, Concha / Larranaga, Pedro et al. | 2016
- 2751
-
A View of Margin Losses as Regularizers of Probability EstimatesMasnadi-Shirazi, Hamed / Vasconcelos, Nuno et al. | 2016
- 2797
-
Online Tensor Methods for Learning Latent Variable ModelsHuang, Furong / Niranjan, U. N. / Hakeem, Mohammad Umar / Anandkumar, Animashree et al. | 2016
- 2837
-
Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process PriorPati, Debdeep / Bhattacharya, Anirban / Cheng, Guang et al. | 2016
- 2853
-
CEKA: A Tool for Mining the Wisdom of CrowdsZhang, Jing / Sheng, Victor S. / Nicholson, Bryce A. / Wu, Xindong et al. | 2016
- 2859
-
Linear Dimensionality Reduction: Survey, Insights, and GeneralizationsCunningham, John P. / Ghahramani, Zoubin et al. | 2016
- 2901
-
The Randomized Causation CoefficientLopez-Paz, David / Muandet, Krikamol / Recht, Benjamin et al. | 2016
- 2909
-
Optimality of Poisson Processes Intensity Learning with Gaussian ProcessesKirichenko, Alisa / van Zanten, Harry et al. | 2016
- 2921
-
Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013Li, Chun-Liang / Su, Yu-Chuan / Lin, Ting-Wei / Tsai, Cheng-Hao / Chang, Wei-Cheng / Huang, Kuan-Hao / Kuo, Tzu-Ming / Lin, Shan-Wei / Lin, Young-San / Lu, Yu-Chen et al. | 2016
- 2949
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Comparing Hard and Overlapping ClusteringsHorta, Danilo / Campello, Ricardo J. G. B. et al. | 2016
- 2999
-
Completing Any Low-rank Matrix, ProvablyChen, Yudong / Bhojanapalli, Srinadh / Sanghavi, Sujay / Ward, Rachel et al. | 2016
- 3035
-
Eigenwords: Spectral Word EmbeddingsDhillon, Paramveer S. / Foster, Dean P. / Ungar, Lyle H. et al. | 2016
- 3079
-
Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-massesJorgensen, Palle / Tian, Feng et al. | 2016
- 3115
-
A Direct Estimation of High Dimensional Stationary Vector AutoregressionsHan, Fang / Lu, Huanran / Liu, Han et al. | 2016
- 3151
-
Global Convergence of Online Limited Memory BFGSMokhtari, Aryan / Ribeiro, Alejandro et al. | 2016
- 3183
-
On Semi-Supervised Linear Regression in Covariate Shift ProblemsRyan, Kenneth Joseph / Culp, Mark Vere et al. | 2016
- 3219
-
Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway DiscoveryStatnikov, Alexander / Ma, Sisi / Henaff, Mikael / Lytkin, Nikita / Efstathiadis, Efstratios / Peskin, Eric R. / Aliferis, Constantin F. et al. | 2016
- 3269
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Plug-and-Play Dual-Tree Algorithm Runtime AnalysisCurtin, Ryan R. / Lee, Dongryeol / March, William B. / Ram, Parikshit et al. | 2016
- 3299
-
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal RatesZhang, Yuchen / Duchi, John / Wainwright, Martin et al. | 2016
- 3341
-
Learning Theory of Randomized Kaczmarz AlgorithmLin, Junhong / Zhou, Ding-Xuan et al. | 2016
- 3367
-
Matrix Completion and Low-Rank SVD via Fast Alternating Least SquaresHastie, Trevor / Mazumder, Rahul / Lee, Jason D. / Zadeh, Reza et al. | 2016
- 3403
-
On the Inductive Bias of DropoutHelmbold, David P. / Long, Philip M. et al. | 2016
- 3455
-
Agnostic Learning of Disjunctions on Symmetric DistributionsFeldman, Vitaly / Kothari, Pravesh et al. | 2016
- 3469
-
SnFFT: A Julia Toolkit for Fourier Analysis of Functions over PermutationsPlumb, Gregory / Pachauri, Deepti / Kondor, Risi / Singh, Vikas et al. | 2016
- 3475
-
The Sample Complexity of Learning Linear Predictors with the Squared LossShamir, Ohad et al. | 2016
- 3487
-
Minimax Analysis of Active LearningHanneke, Steve / Yang, Liu et al. | 2016
- 3603
-
Convergence Rates for Persistence Diagram Estimation in Topological Data AnalysisChazal, Frédéric / Glisse, Marc / Labruère, Catherine / Michel, Bertrand et al. | 2016
- 3637
-
Supervised Learning via Euler's Elastica ModelsLin, Tong / Xue, Hanlin / Wang, Ling / Huang, Bo / Zha, Hongbin et al. | 2016
- 3687
-
Learning to Identify Concise Regular Expressions that Describe Email CampaignsPrasse, Paul / Sawade, Christoph / Landwehr, Niels / Scheffer, Tobias et al. | 2016
- 3721
-
Non-Asymptotic Analysis of a New Bandit Algorithm for Semi-Bounded RewardsHonda, Junya / Takemura, Akimichi et al. | 2016
- 3757
-
Condition for Perfect Dimensionality Recovery by Variational Bayesian PCANakajima, Shinichi / Tomioka, Ryota / Sugiyama, Masashi / Babacan, S. Derin et al. | 2016
- 3813
-
Graphical Models via Univariate Exponential Family DistributionsYang, Eunho / Ravikumar, Pradeep / Allen, Genevera I. / Liu, Zhandong et al. | 2016
- 3849
-
Marginalizing Stacked Linear Denoising AutoencodersChen, Minmin / Weinberger, Kilian Q. / Xu, Zhixiang / Sha, Fei et al. | 2016
- 3877
-
PAC Optimal MDP Planning with Application to Invasive Species ManagementTaleghan, Majid Alkaee / Dietterich, Thomas G. / Crowley, Mark / Hall, Kim / Albers, H. Jo et al. | 2016
- 3905
-
partykit: A Modular Toolkit for Recursive Partytioning in RHothorn, Torsten / Zeileis, Achim et al. | 2016