Optimal Subsampling for Large Sample Logistic Regression

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Optimal Subsampling for Large Sample Logistic Regression

3 February 2017

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Papers citing "Optimal Subsampling for Large Sample Logistic Regression"

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Title
Optimal Sampling for Generalized Linear Models under Measurement Constraints Tao Zhang Y. Ning D. Ruppert 51 32 0 17 Jul 2019
An Econometric Perspective on Algorithmic Subsampling Serena Ng S. Lee 57 13 0 03 Jul 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash Chicheng Zhang A. Krishnamurthy John Langford Alekh Agarwal BDL UQCV 107 780 0 09 Jun 2019
Divide-and-Conquer Information-Based Optimal Subdata Selection Algorithm Haiying Wang 48 28 0 23 May 2019
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees Yongjoo Park Jingyi Qing Xiaoyang Shen Barzan Mozafari VLM 71 28 0 26 Dec 2018
Efficient Augmentation via Data Subsampling Michael Kuchnik Virginia Smith 120 22 0 11 Oct 2018
Fitting Probabilistic Index Models on Large Datasets Han Bossier Gustavo Amorim J. D. Neve O. Thas 13 0 0 17 Aug 2018
Optimal Subsampling Algorithms for Big Data Regressions Mingyao Ai Jun Yu Huiming Zhang Haiying Wang 41 116 0 18 Jun 2018
Optimal Sub-sampling with Influence Functions Daniel Ting E. Brochu TDI 74 32 0 06 Sep 2017