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A Partially Linear Framework for Massive Heterogeneous Data
30 October 2014
Tianqi Zhao
Guang Cheng
Han Liu
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Papers citing
"A Partially Linear Framework for Massive Heterogeneous Data"
48 / 48 papers shown
Learning Centre Partitions from Summaries
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Jean-Francois Ethier
Michael H. Neumann
Félix Camirand Lemyre
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Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data
Yang Sui
Qi Xu
Y. Bai
Annie Qu
245
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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
367
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0
07 May 2024
A review of distributed statistical inference
Statistical Theory and Related Fields (STRF), 2021
Yuan Gao
Weidong Liu
Hansheng Wang
Xiaozhou Wang
Yibo Yan
Riquan Zhang
285
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13 Apr 2023
Distributed Estimation and Inference for Semi-parametric Binary Response Models
Annals of Statistics (Ann. Stat.), 2022
Xinyu Chen
Wenbo Jing
Weidong Liu
Yichen Zhang
424
4
0
15 Oct 2022
Approximating Partial Likelihood Estimators via Optimal Subsampling
Journal of Computational And Graphical Statistics (JCGS), 2022
Haixiang Zhang
Lulu Zuo
Haiying Wang
Liuquan Sun
369
17
0
10 Oct 2022
Heterogeneous Federated Learning on a Graph
Huiyuan Wang
Xuyang Zhao
Weijie Lin
FedML
355
4
0
19 Sep 2022
Weighted Distributed Estimation under Heterogeneity
J. Gu
Songxi Chen
190
2
0
14 Sep 2022
Multiple Descent in the Multiple Random Feature Model
Journal of machine learning research (JMLR), 2022
Xuran Meng
Jianfeng Yao
Yuan Cao
302
10
0
21 Aug 2022
DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation
Journal of the American Statistical Association (JASA), 2022
Yifan He
Ruiyang Wu
Yong Zhou
Yang Feng
351
3
0
16 May 2022
Global Bias-Corrected Divide-and-Conquer by Quantile-Matched Composite for General Nonparametric Regressions
Yan Chen
Lu Lin
223
0
0
29 Jan 2022
High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees
Ying Sun
M. Maros
G. Scutari
Guang Cheng
141
4
0
21 Jan 2022
MANDERA: Malicious Node Detection in Federated Learning via Ranking
Wanchuang Zhu
Benjamin Zi Hao Zhao
Simon Luo
Tongliang Liu
Kefeng Deng
AAML
FedML
283
8
0
22 Oct 2021
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression
Jingyi Zhang
Xiaoxiao Sun
292
0
0
13 Jul 2021
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference
Journal of machine learning research (JMLR), 2021
Jiyuan Tu
Weidong Liu
Xiaojun Mao
Xi Chen
181
28
0
04 Mar 2021
Divide-and-conquer methods for big data analysis
Xueying Chen
Jerry Q. Cheng
Min‐ge Xie
239
10
0
22 Feb 2021
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
Journal of machine learning research (JMLR), 2021
Yang Yu
Shih-Kang Chao
Guang Cheng
FedML
351
13
0
19 Feb 2021
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies
Journal of the American Statistical Association (JASA), 2020
Zijian Guo
487
24
0
15 Nov 2020
Distributed Estimation for Principal Component Analysis: an Enlarged Eigenspace Analysis
Xi Chen
Jason D. Lee
He Li
Yun Yang
355
6
0
05 Apr 2020
Simultaneous Inference for Massive Data: Distributed Bootstrap
International Conference on Machine Learning (ICML), 2020
Yang Yu
Shih-Kang Chao
Guang Cheng
FedML
212
17
0
19 Feb 2020
Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health
Journal of the American Statistical Association (JASA), 2019
Peng Liao
P. Klasnja
Susan Murphy
OffRL
369
73
0
30 Dec 2019
Heterogeneity-aware and communication-efficient distributed statistical inference
R. Duan
Y. Ning
Yong Chen
250
73
0
20 Dec 2019
Rates of Convergence for Large-scale Nearest Neighbor Classification
Neural Information Processing Systems (NeurIPS), 2019
Xingye Qiao
Jiexin Duan
Guang Cheng
226
11
0
03 Sep 2019
Distributed High-dimensional Regression Under a Quantile Loss Function
Journal of machine learning research (JMLR), 2019
Xi Chen
Weidong Liu
Xiaojun Mao
Zhuoyi Yang
337
92
0
13 Jun 2019
A Global Bias-Correction DC Method for Biased Estimation under Memory Constraint
Lu Lin
Feng Li
213
3
0
16 Apr 2019
WONDER: Weighted one-shot distributed ridge regression in high dimensions
International Conference on Machine Learning (ICML), 2019
Guang Cheng
Yueqi Sheng
OffRL
348
49
0
22 Mar 2019
Smoothing Spline Semiparametric Density Models
J. Shi
Jiahui Yu
Anna Liu
Yuedong Wang
133
8
0
10 Jan 2019
Distributed Nearest Neighbor Classification
Jiexin Duan
Xingye Qiao
Guang Cheng
131
4
0
12 Dec 2018
Distributed Inference for Linear Support Vector Machine
Xiaozhou Wang
Zhuoyi Yang
Xi Chen
Weidong Liu
283
79
0
29 Nov 2018
First-order Newton-type Estimator for Distributed Estimation and Inference
Xi Chen
Weidong Liu
Yichen Zhang
368
63
0
28 Nov 2018
Quantile Regression Under Memory Constraint
Xi Chen
Weidong Liu
Yichen Zhang
275
150
0
18 Oct 2018
Distributed linear regression by averaging
Guang Cheng
Yueqi Sheng
FedML
473
75
0
30 Sep 2018
Removing the Curse of Superefficiency: an Effective Strategy For Distributed Computing in Isotonic Regression
Moulinath Banerjee
C. Durot
201
1
0
22 Jun 2018
How Many Machines Can We Use in Parallel Computing for Kernel Ridge Regression?
Meimei Liu
Zuofeng Shang
Guang Cheng
404
8
0
25 May 2018
Statistical Validity and Consistency of Big Data Analytics: A General Framework
B. Karmakar
I. Mukhopadhyay
102
1
0
29 Mar 2018
Statistical Inference on Panel Data Models: A Kernel Ridge Regression Method
Shunan Zhao
Ruiqi Liu
Zuofeng Shang
138
11
0
08 Mar 2017
Distributed inference for quantile regression processes
Annals of Statistics (Ann. Stat.), 2017
S. Volgushev
Shih-Kang Chao
Guang Cheng
820
148
0
21 Jan 2017
Additive Partially Linear Models for Massive Heterogeneous Data
Electronic Journal of Statistics (EJS), 2017
Binhuan Wang
Yixin Fang
Heng Lian
Hua Liang
161
11
0
13 Jan 2017
Efficient Distributed Learning with Sparsity
Jialei Wang
Mladen Kolar
Nathan Srebro
Tong Zhang
FedML
271
171
0
25 May 2016
A Massive Data Framework for M-Estimators with Cubic-Rate
C. Shi
Wenbin Lu
Rui Song
466
76
0
24 May 2016
Divide and Conquer in Non-standard Problems and the Super-efficiency Phenomenon
Moulinath Banerjee
C. Durot
B. Sen
544
67
0
14 May 2016
Quantile Processes for Semi and Nonparametric Regression
Shih-Kang Chao
S. Volgushev
Guang Cheng
463
25
0
07 Apr 2016
Nonparametric Heterogeneity Testing For Massive Data
Junwei Lu
Guang Cheng
Han Liu
205
20
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
498
73
0
31 Dec 2015
Computational Limits of A Distributed Algorithm For Smoothing Spline
Zuofeng Shang
Guang Cheng
410
63
0
31 Dec 2015
A Distributed One-Step Estimator
Cheng Huang
X. Huo
FedML
423
94
0
04 Nov 2015
Distributed Estimation and Inference with Statistical Guarantees
Heather Battey
Jianqing Fan
Han Liu
Junwei Lu
Ziwei Zhu
272
86
0
17 Sep 2015
Nonparametric Bayesian Aggregation for Massive Data
Journal of machine learning research (JMLR), 2015
Zuofeng Shang
Botao Hao
Guang Cheng
304
8
0
17 Aug 2015
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