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A Distributed One-Step Estimator

4 November 2015

Papers citing "A Distributed One-Step Estimator"

26 / 26 papers shown

Title
Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction Yuan Gao Rui Pan Feng Li Riquan Zhang Hansheng Wang 41 0 0 21 Sep 2024
Minimax and Communication-Efficient Distributed Best Subset Selection with Oracle Property Jingguo Lan Hongmei Lin Xueqin Wang 17 0 0 30 Aug 2024
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery Caixing Wang Ziliang Shen 71 0 0 13 May 2024
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques Xuetong Li Yuan Gao Hong Chang Danyang Huang Yingying Ma ... Ke Xu Jing Zhou Xuening Zhu Yingqiu Zhu Hansheng Wang 68 9 0 17 Mar 2024
Byzantine-robust distributed one-step estimation Chuhan Wang Xuehu Zhu Lixing Zhu OOD 18 0 0 15 Jul 2023
Distributed Semi-Supervised Sparse Statistical Inference Jiyuan Tu Weidong Liu Xiaojun Mao Mingyue Xu 43 1 0 17 Jun 2023
Quasi-Newton Updating for Large-Scale Distributed Learning Shuyuan Wu Danyang Huang Hansheng Wang 68 6 0 07 Jun 2023
On the asymptotic properties of a bagging estimator with a massive dataset Yuan Gao Riquan Zhang Hansheng Wang 42 1 0 13 Apr 2023
A review of distributed statistical inference Yuan Gao Weidong Liu Hansheng Wang Xiaozhou Wang Yibo Yan Riquan Zhang 74 43 0 13 Apr 2023
Distributed Estimation and Inference for Semi-parametric Binary Response Models Xinyu Chen Wenbo Jing Weidong Liu Yichen Zhang 47 2 0 15 Oct 2022
Novel Closed-form Point Estimators for the Beta Distribution Piao Chen Xun Xiao 110 3 0 11 Oct 2022
Weighted Distributed Estimation under Heterogeneity J. Gu Songxi Chen 27 1 0 14 Sep 2022
ReBoot: Distributed statistical learning via refitting bootstrap samples Yumeng Wang Ziwei Zhu Xuming He FedML BDL 24 1 0 19 Jul 2022
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects L. Han Jue Hou Kelly Cho R. Duan Tianxi Cai CML FedML CVBM 88 33 0 17 Dec 2021
Divide-and-conquer methods for big data analysis Xueying Chen Jerry Q. Cheng Min‐ge Xie 47 9 0 22 Feb 2021
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality Yang Yu Shih-Kang Chao Guang Cheng FedML 75 10 0 19 Feb 2021
One-Step Estimation With Scaled Proximal Methods R. Bassett Julio Deride 32 0 0 30 Apr 2020
Distributed Kernel Ridge Regression with Communications Shao-Bo Lin Di Wang Ding-Xuan Zhou 43 34 0 27 Mar 2020
Scalable Approximate Inference and Some Applications Jun Han BDL 59 1 0 07 Mar 2020
Simultaneous Inference for Massive Data: Distributed Bootstrap Yang Yu Shih-Kang Chao Guang Cheng FedML 50 15 0 19 Feb 2020
Distributed Learning with Dependent Samples Zirui Sun Shao-Bo Lin 53 7 0 10 Feb 2020
Communication-Efficient Distributed Estimator for Generalized Linear Models with a Diverging Number of Covariates Ping Zhou Zhen Yu Jingyi Ma M. Tian Ye Fan 33 6 0 17 Jan 2020
A Provably Communication-Efficient Asynchronous Distributed Inference Method for Convex and Nonconvex Problems Jineng Ren Jarvis Haupt FedML 41 4 0 16 Mar 2019
Distributed Inference for Linear Support Vector Machine Xiaozhou Wang Zhuoyi Yang Xi Chen Weidong Liu 100 65 0 29 Nov 2018
First-order Newton-type Estimator for Distributed Estimation and Inference Xi Chen Weidong Liu Yichen Zhang 97 51 0 28 Nov 2018
Efficient Distributed Learning with Sparsity Jialei Wang Mladen Kolar Nathan Srebro Tong Zhang FedML 90 152 0 25 May 2016