Divide and Conquer in Non-standard Problems and the Super-efficiency
Phenomenon

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Divide and Conquer in Non-standard Problems and the Super-efficiency Phenomenon

14 May 2016

Moulinath Banerjee

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Papers citing "Divide and Conquer in Non-standard Problems and the Super-efficiency Phenomenon"

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Title
Distributed estimation through parallel approximants A. Chakravorty W. Cleveland P. Wolfe 19 0 0 31 Dec 2021
Consistent estimation of distribution functions under increasing concave and convex stochastic ordering A. Henzi 54 3 0 07 May 2021
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality Yang Yu Shih-Kang Chao Guang Cheng FedML 75 10 0 19 Feb 2021
Distributed Estimation for Principal Component Analysis: an Enlarged Eigenspace Analysis Xi Chen Jason D. Lee He Li Yun Yang 79 6 0 05 Apr 2020
Isotonic Distributional Regression A. Henzi J. Ziegel T. Gneiting 159 62 0 09 Sep 2019
The bias of isotonic regression Ran Dai Hyebin Song Rina Foygel Barber Garvesh Raskutti 60 6 0 13 Aug 2019
On the $L_p$ -error of the Grenander-type estimator in the Cox model C. Durot Eni Musta 26 2 0 16 Jul 2019
Distributed High-dimensional Regression Under a Quantile Loss Function Xi Chen Weidong Liu Xiaojun Mao Zhuoyi Yang 72 72 0 13 Jun 2019
Communication-Efficient Accurate Statistical Estimation Jianqing Fan Yongyi Guo Kaizheng Wang 56 114 0 12 Jun 2019
WONDER: Weighted one-shot distributed ridge regression in high dimensions Yan Sun Yueqi Sheng OffRL 92 51 0 22 Mar 2019
Distributed Inference for Linear Support Vector Machine Xiaozhou Wang Zhuoyi Yang Xi Chen Weidong Liu 100 65 0 29 Nov 2018
Quantile Regression Under Memory Constraint Xi Chen Weidong Liu Yichen Zhang 99 119 0 18 Oct 2018
Distributed linear regression by averaging Yan Sun Yueqi Sheng FedML 94 66 0 30 Sep 2018
Distributed inference for quantile regression processes S. Volgushev Shih-Kang Chao Guang Cheng 546 131 0 21 Jan 2017
A Massive Data Framework for M-Estimators with Cubic-Rate C. Shi Wenbin Lu Rui Song 269 74 0 24 May 2016