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. 2012.15816
  4. Cited By
Fairness in Machine Learning

Fairness in Machine Learning

31 December 2020
L. Oneto
Silvia Chiappa
    FaML
ArXivPDFHTML

Papers citing "Fairness in Machine Learning"

50 / 72 papers shown
Title
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms
On the Promise for Assurance of Differentiable Neurosymbolic Reasoning Paradigms
Luke E. Richards
Jessie Yaros
Jasen Babcock
Coung Ly
Robin Cosbey
Timothy Doster
Cynthia Matuszek
NAI
64
0
0
13 Feb 2025
dsld: A Socially Relevant Tool for Teaching Statistics
dsld: A Socially Relevant Tool for Teaching Statistics
Taha Abdullah
Arjun Ashok
Brandon Estrada
Norman Matloff
Aditya Mittal
Norman Matloff
Aditya Mittal
31
0
0
06 Nov 2024
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
Soyeon Kim
Yuji Roh
Geon Heo
Steven Euijong Whang
31
0
0
03 Oct 2024
Dynamic Fairness Perceptions in Human-Robot Interaction
Dynamic Fairness Perceptions in Human-Robot Interaction
Houston Claure
Kate Candon
Inyoung Shin
Marynel Vázquez
30
1
0
11 Sep 2024
Evaluating LLMs for Gender Disparities in Notable Persons
Evaluating LLMs for Gender Disparities in Notable Persons
L. Rhue
Sofie Goethals
Arun Sundararajan
41
4
0
14 Mar 2024
Learning Fair Policies for Multi-stage Selection Problems from
  Observational Data
Learning Fair Policies for Multi-stage Selection Problems from Observational Data
Zhuangzhuang Jia
G. A. Hanasusanto
P. Vayanos
Weijun Xie
FaML
20
2
0
20 Dec 2023
Fair Clustering: A Causal Perspective
Fair Clustering: A Causal Perspective
Fritz M. Bayer
Drago Plečko
N. Beerenwinkel
Jack Kuipers
FaML
20
0
0
14 Dec 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive
  Attributes
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes
Jinwon Sohn
Qifan Song
Guang Lin
FaML
34
1
0
10 Nov 2023
Endogenous Macrodynamics in Algorithmic Recourse
Endogenous Macrodynamics in Algorithmic Recourse
Patrick Altmeyer
Giovan Angela
Aleksander Buszydlik
Karol Dobiczek
A. V. Deursen
Cynthia C. S. Liem
19
7
0
16 Aug 2023
Misclassification in Automated Content Analysis Causes Bias in
  Regression. Can We Fix It? Yes We Can!
Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!
Nathan TeBlunthuis
V. Hase
Chung-hong Chan
8
8
0
12 Jul 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Mert Yuksekgonul
Linjun Zhang
James Y. Zou
Carlos Guestrin
32
20
0
29 May 2023
Fair Information Spread on Social Networks with Community Structure
Fair Information Spread on Social Networks with Community Structure
O. Mesner
Elizaveta Levina
Ji Zhu
FaML
21
0
0
15 May 2023
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma
Daniel DeAlcala
Ignacio Serna
Aythami Morales
Julian Fierrez
J. Ortega-Garcia
19
6
0
26 Apr 2023
Analysing Fairness of Privacy-Utility Mobility Models
Analysing Fairness of Privacy-Utility Mobility Models
Yuting Zhan
Hamed Haddadi
A. Mashhadi
18
0
0
10 Apr 2023
Connecting Fairness in Machine Learning with Public Health Equity
Connecting Fairness in Machine Learning with Public Health Equity
Shaina Raza
15
5
0
08 Apr 2023
A Survey of Machine Learning-Based Ride-Hailing Planning
A Survey of Machine Learning-Based Ride-Hailing Planning
Dacheng Wen
Yupeng Li
F. Lau
19
4
0
26 Mar 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label
  Classification
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification
Tianci Liu
Haoyu Wang
Yaqing Wang
Xiaoqian Wang
Lu Su
Jing Gao
33
6
0
19 Feb 2023
Individual Fairness under Uncertainty
Individual Fairness under Uncertainty
Wenbin Zhang
Zichong Wang
Juyong Kim
Cheng Cheng
Thomas Oommen
Pradeep Ravikumar
Jeremy C. Weiss
FaML
38
12
0
16 Feb 2023
Provable Detection of Propagating Sampling Bias in Prediction Models
Provable Detection of Propagating Sampling Bias in Prediction Models
Pavan Ravishankar
Qingyu Mo
E. McFowland
Daniel B. Neill
30
3
0
13 Feb 2023
Fair Decision-making Under Uncertainty
Fair Decision-making Under Uncertainty
Wenbin Zhang
Jeremy C. Weiss
30
37
0
29 Jan 2023
Fairness in Multi-Agent Planning
Fairness in Multi-Agent Planning
Alberto Pozanco
Daniel Borrajo
17
2
0
01 Dec 2022
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Beyond Mahalanobis-Based Scores for Textual OOD Detection
Pierre Colombo
Eduardo Dadalto Camara Gomes
Guillaume Staerman
Nathan Noiry
Pablo Piantanida
OODD
39
5
0
24 Nov 2022
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML
  Evaluation
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Sérgio Jesus
José P. Pombal
Duarte M. Alves
André F. Cruz
Pedro Saleiro
Rita P. Ribeiro
João Gama
P. Bizarro
37
32
0
24 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
Josh Gardner
Zoran Popovic
Ludwig Schmidt
OOD
24
22
0
23 Nov 2022
A Keyword Based Approach to Understanding the Overpenalization of
  Marginalized Groups by English Marginal Abuse Models on Twitter
A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter
Kyra Yee
Alice Schoenauer Sebag
Olivia Redfield
Emily Sheng
Matthias Eck
Luca Belli
20
2
0
07 Oct 2022
A Human Rights-Based Approach to Responsible AI
A Human Rights-Based Approach to Responsible AI
Vinodkumar Prabhakaran
Margaret Mitchell
Timnit Gebru
Iason Gabriel
41
36
0
06 Oct 2022
Explainable Global Fairness Verification of Tree-Based Classifiers
Explainable Global Fairness Verification of Tree-Based Classifiers
Stefano Calzavara
Lorenzo Cazzaro
Claudio Lucchese
Federico Marcuzzi
24
2
0
27 Sep 2022
Doubly Fair Dynamic Pricing
Doubly Fair Dynamic Pricing
Jianyu Xu
Dan Qiao
Yu-Xiang Wang
18
8
0
23 Sep 2022
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API
  Predictions
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
Lingjiao Chen
Zhihua Jin
Sabri Eyuboglu
Christopher Ré
Matei A. Zaharia
James Y. Zou
43
9
0
18 Sep 2022
Survey on Fairness Notions and Related Tensions
Survey on Fairness Notions and Related Tensions
Guilherme Alves
Fabien Bernier
Miguel Couceiro
K. Makhlouf
C. Palamidessi
Sami Zhioua
FaML
31
24
0
16 Sep 2022
RAGUEL: Recourse-Aware Group Unfairness Elimination
RAGUEL: Recourse-Aware Group Unfairness Elimination
Aparajita Haldar
Teddy Cunningham
Hakan Ferhatosmanoglu
FaML
32
3
0
30 Aug 2022
A novel approach for Fair Principal Component Analysis based on
  eigendecomposition
A novel approach for Fair Principal Component Analysis based on eigendecomposition
G. D. Pelegrina
L. Duarte
FaML
10
11
0
24 Aug 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
Taesik Gong
Jongheon Jeong
Taewon Kim
Yewon Kim
Jinwoo Shin
Sung-Ju Lee
OOD
TTA
22
120
0
10 Aug 2022
Mimetic Models: Ethical Implications of AI that Acts Like You
Mimetic Models: Ethical Implications of AI that Acts Like You
Reid McIlroy-Young
Jon M. Kleinberg
S. Sen
Solon Barocas
Ashton Anderson
11
16
0
19 Jul 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Assaying Out-Of-Distribution Generalization in Transfer Learning
F. Wenzel
Andrea Dittadi
Peter V. Gehler
Carl-Johann Simon-Gabriel
Max Horn
...
Chris Russell
Thomas Brox
Bernt Schiele
Bernhard Schölkopf
Francesco Locatello
OOD
OODD
AAML
51
71
0
19 Jul 2022
Prisoners of Their Own Devices: How Models Induce Data Bias in
  Performative Prediction
Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction
José P. Pombal
Pedro Saleiro
Mário A. T. Figueiredo
P. Bizarro
21
4
0
27 Jun 2022
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement
  Errors on Fairness Criteria
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria
Yiqiao Liao
Parinaz Naghizadeh Ardabili
6
8
0
31 May 2022
Pruning has a disparate impact on model accuracy
Pruning has a disparate impact on model accuracy
Cuong Tran
Ferdinando Fioretto
Jung-Eun Kim
Rakshit Naidu
34
38
0
26 May 2022
Green Hierarchical Vision Transformer for Masked Image Modeling
Green Hierarchical Vision Transformer for Masked Image Modeling
Lang Huang
Shan You
Mingkai Zheng
Fei Wang
Chao Qian
T. Yamasaki
27
68
0
26 May 2022
Fair and Green Hyperparameter Optimization via Multi-objective and
  Multiple Information Source Bayesian Optimization
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization
Antonio Candelieri
Andrea Ponti
F. Archetti
25
15
0
18 May 2022
Estimating Structural Disparities for Face Models
Estimating Structural Disparities for Face Models
Shervin Ardeshir
Cristina Segalin
Nathan Kallus
CVBM
22
5
0
13 Apr 2022
Models and Mechanisms for Spatial Data Fairness
Models and Mechanisms for Spatial Data Fairness
Sina shaham
Gabriel Ghinita
Cyrus Shahabi
21
9
0
04 Apr 2022
Towards a Responsible AI Development Lifecycle: Lessons From Information
  Security
Towards a Responsible AI Development Lifecycle: Lessons From Information Security
Erick Galinkin
SILM
11
6
0
06 Mar 2022
Attainability and Optimality: The Equalized Odds Fairness Revisited
Attainability and Optimality: The Equalized Odds Fairness Revisited
Zeyu Tang
Kun Zhang
FaML
16
11
0
24 Feb 2022
The Theory, Practice, and Ethical Challenges of Designing a
  Diversity-Aware Platform for Social Relations
The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations
Laura Schelenz
Ivano Bison
Matteo Busso
A. D. Gotzen
D. Gática-Pérez
Fausto Giunchiglia
L. Meegahapola
Salvador Ruiz Correa
6
26
0
23 Feb 2022
Fairness constraint in Structural Econometrics and Application to fair
  estimation using Instrumental Variables
Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables
S. Centorrino
J. Florens
Jean-Michel Loubes
FaML
20
0
0
16 Feb 2022
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations
Cemre Karakas
Alara Dirik
Eylül Yalçınkaya
Pinar Yanardag
17
29
0
13 Feb 2022
The Effect of Model Compression on Fairness in Facial Expression
  Recognition
The Effect of Model Compression on Fairness in Facial Expression Recognition
Samuil Stoychev
Hatice Gunes
CVBM
19
19
0
05 Jan 2022
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative
  Networks
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
A. Saha
Trent Kyono
J. Linmans
M. Schaar
CML
24
105
0
25 Oct 2021
Deep Exploration for Recommendation Systems
Deep Exploration for Recommendation Systems
Zheqing Zhu
Benjamin Van Roy
27
11
0
26 Sep 2021
12
Next