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1702.01166
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Optimal Subsampling for Large Sample Logistic Regression
3 February 2017
Haiying Wang
Rong Zhu
Ping Ma
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Papers citing
"Optimal Subsampling for Large Sample Logistic Regression"
50 / 61 papers shown
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Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing
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Novel Subsampling Strategies for Heavily Censored Reliability Data
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Refitted cross-validation estimation for high-dimensional subsamples from low-dimension full data
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Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
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General bounds on the quality of Bayesian coresets
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A model-free subdata selection method for classification
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Poisson Regression in one Covariate on Massive Data
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Rainer Schwabe
156
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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
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Jing Zhou
Xuening Zhu
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Hansheng Wang
231
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17 Mar 2024
Subsampling for Big Data Linear Models with Measurement Errors
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Mingqiu Wang
Shengli Zhao
245
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07 Mar 2024
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression
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Towards a statistical theory of data selection under weak supervision
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354
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25 Sep 2023
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning
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Riquan Zhang
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197
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Optimal subsampling designs
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Marina Axelson-Fisk
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213
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Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data
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Shuyang Bai
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177
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Gaussian Switch Sampling: A Second Order Approach to Active Learning
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Ryan Benkert
Mohit Prabhushankar
Ghassan Al-Regib
Armin Pacharmi
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318
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Optimal subsampling for the Cox proportional hazards model with massive survival data
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Nan Qiao
Wangcheng Li
Fengjun Xiao
Cunjie Lin
Yong Zhou
218
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A Coreset Learning Reality Check
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Edward Raff
James Holt
179
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Optimal subsampling algorithm for composite quantile regression with distributed data
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Xiaohui Yuan
Shiting Zhou
Yue Wang
126
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06 Jan 2023
Least product relative error estimation for functional multiplicative model and optimal subsampling
Qian Yan
Hanyu Li
145
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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
508
11
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20 Dec 2022
Fast Calibration for Computer Models with Massive Physical Observations
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Yan Wang
Junrong Yu
121
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23 Nov 2022
Approximating Partial Likelihood Estimators via Optimal Subsampling
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Lulu Zuo
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Liuquan Sun
345
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Unweighted estimation based on optimal sample under measurement constraints
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Haiying Wang
Shifeng Xiong
220
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Model-free Subsampling Method Based on Uniform Designs
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Mei Zhang
Yongdao Zhou
Zhengze Zhou
Aijun Zhang
161
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08 Sep 2022
A sub-sampling algorithm preventing outliers
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E. Pesce
Chiara Tommasi
133
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12 Aug 2022
Density Regression with Conditional Support Points
Yunlu Chen
N. Zhang
148
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14 Jun 2022
An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation
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Cheng Meng
Jun Yu
Mengrui Zhang
Wenxuan Zhong
Ping Ma
OT
232
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31 May 2022
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling
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Jing Wang
Jiahui Zou
Haiying Wang
206
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Optimal subsampling for functional quantile regression
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Qian Yan
Hanyu Li
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Optimal Subsampling for High-dimensional Ridge Regression
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Hanyu Li
Cheng Niu
218
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Parallel-and-stream accelerator for computationally fast supervised learning
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Emily C. Hector
Lan Luo
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214
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Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
Neural Information Processing Systems (NeurIPS), 2021
Haiying Wang
Aonan Zhang
Chong-Jun Wang
145
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Functional Principal Subspace Sampling for Large Scale Functional Data Analysis
Electronic Journal of Statistics (EJS), 2021
Shiyuan He
Xiaomeng Yan
343
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0
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Coresets for Classification -- Simplified and Strengthened
Neural Information Processing Systems (NeurIPS), 2021
Tung Mai
Anup B. Rao
Cameron Musco
306
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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
260
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Functional L-Optimality Subsampling for Massive Data
Hua Liu
Jinhong You
Jiguo Cao
305
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On the Subbagging Estimation for Massive Data
Tao Zou
Xian Li
Xuan Liang
Hansheng Wang
154
4
0
28 Feb 2021
Balance-Subsampled Stable Prediction
Kun Kuang
Hengtao Zhang
Leilei Gan
Yueting Zhuang
Aijun Zhang
OOD
155
4
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08 Jun 2020
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data
Jun Yu
Haiying Wang
Mingyao Ai
Huiming Zhang
306
134
0
21 May 2020
Statistical inference in massive datasets by empirical likelihood
Computational statistics (Zeitschrift) (CSZ), 2020
Xuejun Ma
Shaochen Wang
Wang Zhou
FedML
212
7
0
18 Apr 2020
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Ping Ma
Xinlian Zhang
Xin Xing
Jingyi Ma
Michael W. Mahoney
212
71
0
24 Feb 2020
Big Data and model-based survey sampling
Deldossi Laura
Tommasi Chiara
53
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0
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Optimal subsampling for quantile regression in big data
Biometrika (Biometrika), 2020
Haiying Wang
Yanyuan Ma
348
153
0
28 Jan 2020
Randomized Spectral Clustering in Large-Scale Stochastic Block Models
Journal of Computational And Graphical Statistics (JCGS), 2020
Hai Zhang
Xiao Guo
Xiangyu Chang
494
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20 Jan 2020
Communication-Efficient Distributed Estimator for Generalized Linear Models with a Diverging Number of Covariates
Computational Statistics & Data Analysis (CSDA), 2020
Ping Zhou
Zhen Yu
Jingyi Ma
M. Tian
Ye Fan
222
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0
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Logistic regression models for aggregated data
Journal of Computational And Graphical Statistics (JCGS), 2019
Thomas Whitaker
B. Beranger
Scott A. Sisson
224
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