ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.02380
  4. Cited By
Causal Interventions for Fairness

Causal Interventions for Fairness

6 June 2018
Matt J. Kusner
Chris Russell
Joshua R. Loftus
Ricardo M. A. Silva
    FaML
ArXiv (abs)PDFHTML

Papers citing "Causal Interventions for Fairness"

11 / 11 papers shown
Title
Sequential Cohort Selection
Sequential Cohort Selection
Hortence Phalonne Nana
Christos Dimitrakakis
86
0
0
22 Aug 2025
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms
  for Neural Networks
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural NetworksConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2022
Kiarash Mohammadi
Aishwarya Sivaraman
G. Farnadi
218
8
0
01 Jun 2022
On Meritocracy in Optimal Set Selection
On Meritocracy in Optimal Set SelectionConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2021
Thomas Kleine Buening
Meirav Segal
D. Basu
Christos Dimitrakakis
Anne-Marie George
146
3
0
23 Feb 2021
Outcome-Explorer: A Causality Guided Interactive Visual Interface for
  Interpretable Algorithmic Decision Making
Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision MakingIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Md. Naimul Hoque
Klaus Mueller
CML
314
36
0
03 Jan 2021
Causal Multi-Level Fairness
Causal Multi-Level Fairness
Vishwali Mhasawade
R. Chunara
183
29
0
14 Oct 2020
Fairness in Machine Learning: A Survey
Fairness in Machine Learning: A SurveyACM Computing Surveys (ACM CSUR), 2020
Simon Caton
C. Haas
FaML
481
787
0
04 Oct 2020
Fairness Under Feature Exemptions: Counterfactual and Observational
  Measures
Fairness Under Feature Exemptions: Counterfactual and Observational MeasuresIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
Sanghamitra Dutta
Praveen Venkatesh
Piotr (Peter) Mardziel
Anupam Datta
P. Grover
194
19
0
14 Jun 2020
Contrastive Fairness in Machine Learning
Contrastive Fairness in Machine Learning
Tapabrata (Rohan) Chakraborty
A. Patra
Alison Noble
FaML
347
8
0
17 May 2019
Fairness in Algorithmic Decision Making: An Excursion Through the Lens
  of Causality
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality
A. Khademi
Sanghack Lee
David Foley
Vasant Honavar
FaML
130
99
0
27 Mar 2019
Racial categories in machine learning
Racial categories in machine learning
Sebastian Benthall
Bruce D. Haynes
FaML
154
132
0
28 Nov 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for
  Biased Data
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
189
140
0
07 Sep 2018
1