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John Lafferty

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Surfing: Iterative optimization over incrementally trained deep networks

Jul 19, 2019
Ganlin Song, Zhou Fan, John Lafferty

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Fair quantile regression

Jul 19, 2019
Dana Yang, John Lafferty, David Pollard

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TopicEq: A Joint Topic and Mathematical Equation Model for Scientific Texts

Feb 20, 2019
Michihiro Yasunaga, John Lafferty

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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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Faithful Variable Screening for High-Dimensional Convex Regression

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

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