A Massive Data Framework for M-Estimators with Cubic-Rate

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A Massive Data Framework for M-Estimators with Cubic-Rate

24 May 2016

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Papers citing "A Massive Data Framework for M-Estimators with Cubic-Rate"

13 / 13 papers shown

Title
DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation Yifan He Ruiyang Wu Yong Zhou Yang Feng 61 1 0 16 May 2022
Data splitting improves statistical performance in overparametrized regimes Nicole Mücke Enrico Reiss Jonas Rungenhagen Markus Klein 55 8 0 21 Oct 2021
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality Yang Yu Shih-Kang Chao Guang Cheng FedML 75 10 0 19 Feb 2021
On Gaussian Approximation for M-Estimator Masaaki Imaizumi Taisuke Otsu 86 3 0 31 Dec 2020
Statistical inference in massive datasets by empirical likelihood Xuejun Ma Shaochen Wang Wang Zhou FedML 21 6 0 18 Apr 2020
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
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 61 114 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