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Logistic Regression for Massive Data with Rare Events

Logistic Regression for Massive Data with Rare Events

International Conference on Machine Learning (ICML), 2020
1 June 2020
HaiYing Wang
ArXiv (abs)PDFHTML

Papers citing "Logistic Regression for Massive Data with Rare Events"

9 / 9 papers shown
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling
Touqeer Ahmad
Mohammadreza M. Kalan
François Portier
Gilles Stupfler
148
1
0
23 Oct 2025
Novel Subsampling Strategies for Heavily Censored Reliability Data
Novel Subsampling Strategies for Heavily Censored Reliability DataStatistics and its Interface (SII), 2024
Yixiao Ruan
Z. Li
Zhaohui Li
Dennis K. J. Lin
Qingpei Hu
Dan Yu
210
1
0
30 Oct 2024
Optimal Downsampling for Imbalanced Classification with Generalized
  Linear Models
Optimal Downsampling for Imbalanced Classification with Generalized Linear Models
Yan Chen
Jose Blanchet
Krzysztof Dembczynski
Laura Fee Nern
Aaron Flores
152
1
0
11 Oct 2024
A Provably Accurate Randomized Sampling Algorithm for Logistic
  Regression
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression
Agniva Chowdhury
Pradeep Ramuhalli
273
1
0
26 Feb 2024
Mini-batch Gradient Descent with Buffer
Mini-batch Gradient Descent with Buffer
Haobo Qi
Du Huang
Yingqiu Zhu
Danyang Huang
Hansheng Wang
285
1
0
14 Dec 2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems
Graph-Based Model-Agnostic Data Subsampling for Recommendation SystemsKnowledge Discovery and Data Mining (KDD), 2023
Xiaohui Chen
Jiankai Sun
Taiqing Wang
Ruocheng Guo
Liping Liu
Aonan Zhang
258
3
0
25 May 2023
A Comparison of Approaches for Imbalanced Classification Problems in the
  Context of Retrieving Relevant Documents for an Analysis
A Comparison of Approaches for Imbalanced Classification Problems in the Context of Retrieving Relevant Documents for an AnalysisJournal of Computational Social Science (JCSS), 2022
Sandra Wankmüller
313
5
0
03 May 2022
Nonuniform Negative Sampling and Log Odds Correction with Rare Events
  Data
Nonuniform Negative Sampling and Log Odds Correction with Rare Events DataNeural Information Processing Systems (NeurIPS), 2021
Haiying Wang
Aonan Zhang
Chong-Jun Wang
150
24
0
25 Oct 2021
Optimal Binary Classification Beyond Accuracy
Optimal Binary Classification Beyond Accuracy
Shashank Singh
Justin Khim
FaML
347
9
0
05 Jul 2021
1
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