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John Lafferty

Distributed Nonparametric Regression under Communication Constraints

Jun 23, 2018
Yuancheng Zhu, 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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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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