ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.04352
  4. Cited By
Fair Feature Importance Scores for Interpreting Tree-Based Methods and
  Surrogates

Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates

6 October 2023
Camille Olivia Little
Debolina Halder Lina
Genevera I. Allen
ArXivPDFHTML

Papers citing "Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates"

3 / 3 papers shown
Title
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting
Camille Olivia Little
Genevera I. Allen
30
0
0
01 Apr 2024
Toward a Taxonomy of Trust for Probabilistic Machine Learning
Toward a Taxonomy of Trust for Probabilistic Machine Learning
Tamara Broderick
Andrew Gelman
Rachael Meager
Anna L. Smith
Tian Zheng
34
9
0
05 Dec 2021
In Pursuit of Interpretable, Fair and Accurate Machine Learning for
  Criminal Recidivism Prediction
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction
Caroline Linjun Wang
Bin Han
Bhrij Patel
Cynthia Rudin
FaML
HAI
59
84
0
08 May 2020
1