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Optimal Subsampling Algorithms for Big Data Regressions

18 June 2018

Papers citing "Optimal Subsampling Algorithms for Big Data Regressions"

28 / 28 papers shown

Title
Backbone Augmented Training for Adaptations Jae Wan Park Junhyeok Kim Youngjun Jun Hyunah Ko Seong Jae Hwang 27 0 0 04 Jun 2025
Data subsampling for Poisson regression with pth-root-link Han Cheng Lie Alexander Munteanu 58 0 0 30 Oct 2024
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
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
General bounds on the quality of Bayesian coresets Trevor Campbell 81 2 0 20 May 2024
Poisson Regression in one Covariate on Massive Data Torsten Reuter Rainer Schwabe 56 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 124 0 0 07 Mar 2024
Simple rejection Monte Carlo algorithm and its application to multivariate statistical inference Fengyu Li Huijiao Yu Jun Yan Xianyong Meng BDL 22 0 0 27 Feb 2024
Group-Orthogonal Subsampling for Hierarchical Data Based on Linear Mixed Models Jiaqing Zhu Lin Wang Fasheng Sun 126 4 0 16 Oct 2023
Towards a statistical theory of data selection under weak supervision Germain Kolossov Andrea Montanari Pulkit Tandon 76 15 0 25 Sep 2023
Optimal subsampling designs Henrik Imberg Marina Axelson-Fisk J. Jonasson 67 3 0 06 Apr 2023
Optimal subsampling for the Cox proportional hazards model with massive survival data Nan Qiao Wangcheng Li Fengjun Xiao Cunjie Lin Yong Zhou 62 2 0 05 Feb 2023
Optimal subsampling algorithm for composite quantile regression with distributed data Xiaohui Yuan Shiting Zhou Yue Wang 32 2 0 06 Jan 2023
Least product relative error estimation for functional multiplicative model and optimal subsampling Qian Yan Hanyu Li 33 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 46 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 64 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 77 12 0 31 May 2022
Optimal subsampling for functional quantile regression Qian Yan Hanyu Li Chengmei Niu 65 7 0 05 May 2022
Optimal Subsampling for High-dimensional Ridge Regression Hanyu Li Cheng Niu 21 3 0 18 Apr 2022
Functional L-Optimality Subsampling for Massive Data Hua Liu Jinhong You Jiguo Cao 65 4 0 08 Apr 2021
Optimal subsampling for quantile regression in big data Haiying Wang Yanyuan Ma 139 133 0 28 Jan 2020
Law of the Iterated Logarithm and Model Selection Consistency for GLMs with Independent and Dependent Responses Xiaowei Yang Shuang Song Huiming Zhang 15 1 0 10 Aug 2019
Optimal Sampling for Generalized Linear Models under Measurement Constraints Tao Zhang Y. Ning D. Ruppert 60 32 0 17 Jul 2019