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Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data

21 May 2020

Papers citing "Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data"

28 / 28 papers shown

Title
Novel Subsampling Strategies for Heavily Censored Reliability Data Yixiao Ruan Z. Li Zhaohui Li Dennis K. J. Lin Qingpei Hu Dan Yu 58 0 0 30 Oct 2024
Refitted cross-validation estimation for high-dimensional subsamples from low-dimension full data Haixiang Zhang Haiying Wang 52 1 0 21 Sep 2024
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection Qian Shao Jiangrui Kang Qiyuan Chen Zepeng Li Hongxia Xu Yiwen Cao Jiajuan Liang Jian Wu 66 1 0 18 Sep 2024
Multi-resolution subsampling for large-scale linear classification Haolin Chen Holger Dette Jun Yu 73 0 0 08 Jul 2024
Poisson Regression in one Covariate on Massive Data Torsten Reuter Rainer Schwabe 53 0 0 27 Mar 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
Subsampling for Big Data Linear Models with Measurement Errors Jiangshan Ju Mingqiu Wang Shengli Zhao 121 0 0 07 Mar 2024
Mini-batch Gradient Descent with Buffer Haobo Qi Du Huang Yingqiu Zhu Danyang Huang Hansheng Wang 45 1 0 14 Dec 2023
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models Jiaqing Zhu Lin Wang Fasheng Sun 121 4 0 16 Oct 2023
D-optimal Subsampling Design for Massive Data Linear Regression Torsten Reuter Rainer Schwabe 49 1 0 05 Jul 2023
Importance Sparsification for Sinkhorn Algorithm Mengyun Li Jun Yu Tao Li Cheng Meng OT 117 8 0 11 Jun 2023
Optimal subsampling designs Henrik Imberg Marina Axelson-Fisk J. Jonasson 67 3 0 06 Apr 2023
Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data Rui Xie Shuyang Bai Ping Ma AI4TS 48 7 0 14 Mar 2023
Optimal subsampling algorithm for composite quantile regression with distributed data Xiaohui Yuan Shiting Zhou Yue Wang 29 2 0 06 Jan 2023
Least product relative error estimation for functional multiplicative model and optimal subsampling Qian Yan Hanyu Li 25 0 0 03 Jan 2023
Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples Henrik Imberg Xiaomi Yang Carol Flannagan Jonas Bärgman 111 10 0 20 Dec 2022
Fast Calibration for Computer Models with Massive Physical Observations Shurui Lv Yan Wang Junrong Yu 43 1 0 23 Nov 2022
Approximating Partial Likelihood Estimators via Optimal Subsampling Haixiang Zhang Lulu Zuo Haiying Wang Liuquan Sun 53 14 0 10 Oct 2022
Unweighted estimation based on optimal sample under measurement constraints Jing Wang Haiying Wang Shifeng Xiong 61 4 0 08 Oct 2022
A note on centering in subsample selection for linear regression Hai Ying Wang 54 2 0 30 Sep 2022
An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation Jingyi Zhang Cheng Meng Jun Yu Mengrui Zhang Wenxuan Zhong Ping Ma OT 74 12 0 31 May 2022
Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification Mengyu Li Jun Yu Hongteng Xu Cheng Meng 86 15 0 26 May 2022
Optimal subsampling for functional quantile regression Qian Yan Hanyu Li Chengmei Niu 59 7 0 05 May 2022
Optimal Subsampling for High-dimensional Ridge Regression Hanyu Li Cheng Niu 16 3 0 18 Apr 2022
Markov subsampling based Huber Criterion Tieliang Gong Yuxin Dong Hong Chen B. Dong Chen Li 55 2 0 12 Dec 2021
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data Haiying Wang Aonan Zhang Chong-Jun Wang 45 19 0 25 Oct 2021
Functional L-Optimality Subsampling for Massive Data Hua Liu Jinhong You Jiguo Cao 55 4 0 08 Apr 2021
On the Subbagging Estimation for Massive Data Tao Zou Xian Li Xuan Liang Hansheng Wang 39 4 0 28 Feb 2021