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Distributed Nonparametric Regression under Communication Constraints


Jun 23, 2018
Yuancheng Zhu, John Lafferty

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Prediction Rule Reshaping


May 16, 2018
Matt Bonakdarpour, Sabyasachi Chatterjee, Rina Foygel Barber, John Lafferty

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Quantized Nonparametric Estimation over Sobolev Ellipsoids


Apr 11, 2017
Yuancheng Zhu, John Lafferty

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Convergence Analysis for Rectangular Matrix Completion Using Burer-Monteiro Factorization and Gradient Descent


Nov 22, 2016
Qinqing Zheng, John Lafferty

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Local Minimax Complexity of Stochastic Convex Optimization


May 26, 2016
Yuancheng Zhu, Sabyasachi Chatterjee, John Duchi, John Lafferty

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A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements


Mar 24, 2016
Qinqing Zheng, John Lafferty

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* Fix a minor error in Appendix E 

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Faithful Variable Screening for High-Dimensional Convex Regression


Nov 18, 2014
Min Xu, Minhua Chen, John Lafferty

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Quantized Estimation of Gaussian Sequence Models in Euclidean Balls


Sep 24, 2014
Yuancheng Zhu, John Lafferty

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* Appearing at NIPS 2014 

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Iterative Markov Chain Monte Carlo Computation of Reference Priors and Minimax Risk


Jan 10, 2013
John Lafferty, Larry A. Wasserman

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* Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001) 

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Nonparametric Reduced Rank Regression


Jan 09, 2013
Rina Foygel, Michael Horrell, Mathias Drton, John Lafferty

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