Distributed linear regression by averaging

30 September 2018

Papers citing "Distributed linear regression by averaging"

29 / 29 papers shown

Title
Ridge Regression: Structure, Cross-Validation, and Sketching Sifan Liu Yan Sun CML 63 48 0 06 Oct 2019
WONDER: Weighted one-shot distributed ridge regression in high dimensions Yan Sun Yueqi Sheng OffRL 59 51 0 22 Mar 2019
First-order Newton-type Estimator for Distributed Estimation and Inference Xi Chen Weidong Liu Yichen Zhang 63 51 0 28 Nov 2018
A Continuous-Time View of Early Stopping for Least Squares Alnur Ali J. Zico Kolter Robert Tibshirani 56 97 0 23 Oct 2018
Quantile Regression Under Memory Constraint Xi Chen Weidong Liu Yichen Zhang 77 119 0 18 Oct 2018
Removing the Curse of Superefficiency: an Effective Strategy For Distributed Computing in Isotonic Regression Moulinath Banerjee C. Durot 23 1 0 22 Jun 2018
Adaptive distributed methods under communication constraints Botond Szabó Harry Van Zanten 39 24 0 03 Apr 2018
Distributed Nonparametric Regression under Communication Constraints Yuancheng Zhu John D. Lafferty 37 26 0 04 Mar 2018
Optimal prediction in the linearly transformed spiked model Edgar Dobriban W. Leeb A. Singer 59 20 0 07 Sep 2017
Asymptotic performance of PCA for high-dimensional heteroscedastic data David Hong Laura Balzano Jeffrey A. Fessler 47 55 0 20 Mar 2017
Distributed Estimation of Principal Eigenspaces Jianqing Fan Dong Wang Kaizheng Wang Ziwei Zhu 54 165 0 21 Feb 2017
Distributed inference for quantile regression processes S. Volgushev Shih-Kang Chao Guang Cheng 430 131 0 21 Jan 2017
CoCoA: A General Framework for Communication-Efficient Distributed Optimization Virginia Smith Simone Forte Chenxin Ma Martin Takáč Michael I. Jordan Martin Jaggi 66 273 0 07 Nov 2016
Distributed learning with regularized least squares Shaobo Lin Xin Guo Ding-Xuan Zhou 137 191 0 11 Aug 2016
Efficient Distributed Learning with Sparsity Jialei Wang Mladen Kolar Nathan Srebro Tong Zhang FedML 59 152 0 25 May 2016
Communication-Efficient Distributed Statistical Inference Michael I. Jordan Jason D. Lee Yun Yang 43 19 0 25 May 2016
A Massive Data Framework for M-Estimators with Cubic-Rate C. Shi Wenbin Lu Rui Song 190 74 0 24 May 2016
Divide and Conquer in Non-standard Problems and the Super-efficiency Phenomenon Moulinath Banerjee C. Durot B. Sen 201 64 0 14 May 2016
High-Dimensional Asymptotics of Prediction: Ridge Regression and Classification Yan Sun Stefan Wager 97 289 0 10 Jul 2015
Communication Lower Bounds for Statistical Estimation Problems via a Distributed Data Processing Inequality M. Braverman A. Garg Tengyu Ma Huy Le Nguyen David P. Woodruff FedML 48 175 0 24 Jun 2015
A Partially Linear Framework for Massive Heterogeneous Data Tianqi Zhao Guang Cheng Han Liu 217 128 0 30 Oct 2014
Distributed Estimation, Information Loss and Exponential Families Qiang Liu Alexander Ihler FedML 47 59 0 09 Oct 2014
On the Optimality of Averaging in Distributed Statistical Learning Jonathan D. Rosenblatt B. Nadler FedML 65 111 0 10 Jul 2014
Optimality guarantees for distributed statistical estimation John C. Duchi Michael I. Jordan Martin J. Wainwright Yuchen Zhang 68 65 0 05 May 2014
Communication Efficient Distributed Optimization using an Approximate Newton-type Method Ohad Shamir Nathan Srebro Tong Zhang 86 556 0 30 Dec 2013
High Dimensional Robust M-Estimation: Asymptotic Variance via Approximate Message Passing D. Donoho Andrea Montanari 199 221 0 28 Oct 2013
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates Yuchen Zhang John C. Duchi Martin J. Wainwright 272 378 0 22 May 2013
A Reliable Effective Terascale Linear Learning System Alekh Agarwal O. Chapelle Miroslav Dudík John Langford 91 418 0 19 Oct 2011
Slow Learners are Fast John Langford Alex Smola Martin A. Zinkevich 111 391 0 03 Nov 2009