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A Partially Linear Framework for Massive Heterogeneous Data

30 October 2014

Papers citing "A Partially Linear Framework for Massive Heterogeneous Data"

45 / 45 papers shown

Title
Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data Yang Sui Qi Xu Y. Bai Annie Qu 49 2 0 30 May 2025
DCNN: Dual Cross-current Neural Networks Realized Using An Interactive Deep Learning Discriminator for Fine-grained Objects Da Fu Mingfei Rong Eun-Hu Kim Hao Huang Witold Pedrycz 112 0 0 07 May 2024
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
Approximating Partial Likelihood Estimators via Optimal Subsampling Haixiang Zhang Lulu Zuo Haiying Wang Liuquan Sun 60 14 0 10 Oct 2022
Heterogeneous Federated Learning on a Graph Huiyuan Wang Xuyang Zhao Weijie Lin FedML 107 4 0 19 Sep 2022
Weighted Distributed Estimation under Heterogeneity J. Gu Songxi Chen 27 1 0 14 Sep 2022
Multiple Descent in the Multiple Random Feature Model Xuran Meng Jianfeng Yao Yuan Cao 78 7 0 21 Aug 2022
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
Global Bias-Corrected Divide-and-Conquer by Quantile-Matched Composite for General Nonparametric Regressions Yan Chen Lu Lin 22 0 0 29 Jan 2022
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression Jingyi Zhang Xiaoxiao Sun 46 0 0 13 Jul 2021
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference Jiyuan Tu Weidong Liu Xiaojun Mao Xi Chen 51 20 0 04 Mar 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
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies Zijian Guo 56 17 0 15 Nov 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
Simultaneous Inference for Massive Data: Distributed Bootstrap Yang Yu Shih-Kang Chao Guang Cheng FedML 48 15 0 19 Feb 2020
Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health Peng Liao P. Klasnja Susan Murphy OffRL 85 68 0 30 Dec 2019
Heterogeneity-aware and communication-efficient distributed statistical inference R. Duan Y. Ning Yong Chen 60 70 0 20 Dec 2019
Rates of Convergence for Large-scale Nearest Neighbor Classification Xingye Qiao Jiexin Duan Guang Cheng 59 9 0 03 Sep 2019
Distributed High-dimensional Regression Under a Quantile Loss Function Xi Chen Weidong Liu Xiaojun Mao Zhuoyi Yang 72 72 0 13 Jun 2019
A Global Bias-Correction DC Method for Biased Estimation under Memory Constraint Lu Lin Feng Li 40 2 0 16 Apr 2019
WONDER: Weighted one-shot distributed ridge regression in high dimensions Yan Sun Yueqi Sheng OffRL 92 51 0 22 Mar 2019
Smoothing Spline Semiparametric Density Models J. Shi Jiahui Yu Anna Liu Yuedong Wang 42 6 0 10 Jan 2019
Distributed Nearest Neighbor Classification Jiexin Duan Xingye Qiao Guang Cheng 21 4 0 12 Dec 2018
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
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
Removing the Curse of Superefficiency: an Effective Strategy For Distributed Computing in Isotonic Regression Moulinath Banerjee C. Durot 50 1 0 22 Jun 2018
How Many Machines Can We Use in Parallel Computing for Kernel Ridge Regression? Meimei Liu Zuofeng Shang Guang Cheng 52 8 0 25 May 2018
Statistical Validity and Consistency of Big Data Analytics: A General Framework B. Karmakar I. Mukhopadhyay 26 1 0 29 Mar 2018
Statistical Inference on Panel Data Models: A Kernel Ridge Regression Method Shunan Zhao Ruiqi Liu Zuofeng Shang 29 11 0 08 Mar 2017
Distributed inference for quantile regression processes S. Volgushev Shih-Kang Chao Guang Cheng 546 131 0 21 Jan 2017
Additive Partially Linear Models for Massive Heterogeneous Data Binhuan Wang Yixin Fang Heng Lian Hua Liang 64 5 0 13 Jan 2017
Efficient Distributed Learning with Sparsity Jialei Wang Mladen Kolar Nathan Srebro Tong Zhang FedML 90 152 0 25 May 2016
A Massive Data Framework for M-Estimators with Cubic-Rate C. Shi Wenbin Lu Rui Song 275 74 0 24 May 2016
Divide and Conquer in Non-standard Problems and the Super-efficiency Phenomenon Moulinath Banerjee C. Durot B. Sen 301 64 0 14 May 2016
Quantile Processes for Semi and Nonparametric Regression Shih-Kang Chao S. Volgushev Guang Cheng 322 25 0 07 Apr 2016
Nonparametric Heterogeneity Testing For Massive Data Junwei Lu Guang Cheng Han Liu 58 19 0 23 Jan 2016
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server Leonard Hasenclever Stefan Webb Thibaut Lienart Sebastian J. Vollmer Balaji Lakshminarayanan Charles Blundell Yee Whye Teh BDL 183 70 0 31 Dec 2015
Computational Limits of A Distributed Algorithm For Smoothing Spline Zuofeng Shang Guang Cheng 264 56 0 31 Dec 2015
A Distributed One-Step Estimator Cheng Huang X. Huo FedML 127 84 0 04 Nov 2015
Distributed Estimation and Inference with Statistical Guarantees Heather Battey Jianqing Fan Han Liu Junwei Lu Ziwei Zhu 88 83 0 17 Sep 2015
Nonparametric Bayesian Aggregation for Massive Data Zuofeng Shang Botao Hao Guang Cheng 24 8 0 17 Aug 2015