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Feature Selection for Huge Data via Minipatch Learning
v1v2 (latest)

Feature Selection for Huge Data via Minipatch Learning

16 October 2020
Tianyi Yao
Genevera I. Allen
ArXiv (abs)PDFHTML

Papers citing "Feature Selection for Huge Data via Minipatch Learning"

4 / 4 papers shown
Title
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and
  Powerful Approach Using Minipatch Ensembles
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles
Luqin Gan
Lili Zheng
Genevera I. Allen
100
6
0
05 Jun 2022
To the Fairness Frontier and Beyond: Identifying, Quantifying, and
  Optimizing the Fairness-Accuracy Pareto Frontier
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier
Camille Olivia Little
Michael Weylandt
Genevera I. Allen
67
13
0
31 May 2022
Fast and Accurate Graph Learning for Huge Data via Minipatch Ensembles
Fast and Accurate Graph Learning for Huge Data via Minipatch Ensembles
Tianyi Yao
Minjie Wang
Genevera I. Allen
69
1
0
22 Oct 2021
Fast and Interpretable Consensus Clustering via Minipatch Learning
Fast and Interpretable Consensus Clustering via Minipatch Learning
Luqin Gan
Genevera I. Allen
52
7
0
05 Oct 2021
1