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Optimal Subsampling for Large Sample Logistic Regression

3 February 2017

Papers citing "Optimal Subsampling for Large Sample Logistic Regression"

50 / 59 papers shown

Title
Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing Debabrota Basu Debarshi Chanda 109 0 0 10 Mar 2025
Novel Subsampling Strategies for Heavily Censored Reliability Data Yixiao Ruan Z. Li Zhaohui Li Dennis K. J. Lin Qingpei Hu Dan Yu 55 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
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning Yijun Dong Hoang Phan Xiang Pan Qi Lei 150 6 0 08 Jul 2024
Multi-resolution subsampling for large-scale linear classification Haolin Chen Holger Dette Jun Yu 68 0 0 08 Jul 2024
General bounds on the quality of Bayesian coresets Trevor Campbell 81 2 0 20 May 2024
A model-free subdata selection method for classification Rakhi Singh 69 0 0 29 Apr 2024
Poisson Regression in one Covariate on Massive Data Torsten Reuter Rainer Schwabe 51 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 119 0 0 07 Mar 2024
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression Agniva Chowdhury Pradeep Ramuhalli 75 2 0 26 Feb 2024
Towards a statistical theory of data selection under weak supervision Germain Kolossov Andrea Montanari Pulkit Tandon 76 15 0 25 Sep 2023
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning Yong Lin Chen Liu Chen Ye Qing Lian Yuan Yao Tong Zhang 102 5 0 05 Sep 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
Optimal subsampling designs Henrik Imberg Marina Axelson-Fisk J. Jonasson 59 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
Gaussian Switch Sampling: A Second Order Approach to Active Learning Ryan Benkert Mohit Prabhushankar Ghassan Al-Regib Armin Pacharmi E. Corona AAML 90 9 0 16 Feb 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
A Coreset Learning Reality Check Fred Lu Edward Raff James Holt 55 5 0 15 Jan 2023
Optimal subsampling algorithm for composite quantile regression with distributed data Xiaohui Yuan Shiting Zhou Yue Wang 27 2 0 06 Jan 2023
Least product relative error estimation for functional multiplicative model and optimal subsampling Qian Yan Hanyu Li 20 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 41 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 59 4 0 08 Oct 2022
Model-free Subsampling Method Based on Uniform Designs Mei Zhang Yongdao Zhou Zhengze Zhou Aijun Zhang 47 14 0 08 Sep 2022
A sub-sampling algorithm preventing outliers L. Deldossi E. Pesce Chiara Tommasi 16 1 0 12 Aug 2022
Density Regression with Conditional Support Points Yunlu Chen N. Zhang 53 0 0 14 Jun 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
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling Jing Wang Jiahui Zou Haiying Wang 73 18 0 17 May 2022
Optimal subsampling for functional quantile regression Qian Yan Hanyu Li Chengmei Niu 51 7 0 05 May 2022
Optimal Subsampling for High-dimensional Ridge Regression Hanyu Li Cheng Niu 16 3 0 18 Apr 2022
Parallel-and-stream accelerator for computationally fast supervised learning Emily C. Hector Lan Luo P. Song 21 6 0 29 Oct 2021
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data Haiying Wang Aonan Zhang Chong-Jun Wang 37 19 0 25 Oct 2021
Functional Principal Subspace Sampling for Large Scale Functional Data Analysis Shiyuan He Xiaomeng Yan 93 4 0 08 Sep 2021
Coresets for Classification -- Simplified and Strengthened Tung Mai Anup B. Rao Cameron Musco 86 35 0 08 Jun 2021
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning Chaosheng Dong Xiaojie Jin Weihao Gao Yijia Wang Hongyi Zhang Xiang Wu Jianchao Yang Xiaobing Liu 75 5 0 27 Apr 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 34 4 0 28 Feb 2021
Balance-Subsampled Stable Prediction Kun Kuang Hengtao Zhang Leilei Gan Yueting Zhuang Aijun Zhang OOD 65 3 0 08 Jun 2020
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data Jun Yu Haiying Wang Mingyao Ai Huiming Zhang 51 116 0 21 May 2020
Statistical inference in massive datasets by empirical likelihood Xuejun Ma Shaochen Wang Wang Zhou FedML 13 6 0 18 Apr 2020
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms Ping Ma Xinlian Zhang Xin Xing Jingyi Ma Michael W. Mahoney 99 57 0 24 Feb 2020
Big Data and model-based survey sampling Deldossi Laura Tommasi Chiara 19 3 0 11 Feb 2020
Optimal subsampling for quantile regression in big data Haiying Wang Yanyuan Ma 139 133 0 28 Jan 2020
Randomized Spectral Clustering in Large-Scale Stochastic Block Models Hai Zhang Xiao Guo Xiangyu Chang 115 24 0 20 Jan 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 26 6 0 17 Jan 2020
Logistic regression models for aggregated data Thomas Whitaker B. Beranger Scott A. Sisson 36 14 0 09 Dec 2019
Less Is Better: Unweighted Data Subsampling via Influence Function Zifeng Wang Hong Zhu Zhenhua Dong Xiuqiang He Shao-Lun Huang TDI 94 54 0 03 Dec 2019
Least Squares Approximation for a Distributed System Xuening Zhu Feng Li Hansheng Wang 48 56 0 14 Aug 2019