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Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-21852-6_3openalex-snapshot
On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
inferredcites →https://doi.org/10.1007/978-3-642-33486-3_3openalex-snapshot
Fairness-Aware Classifier with Prejudice Remover Regularizer
inferredcites →https://doi.org/10.1007/978-3-7908-2604-3_16openalex-snapshot
Large-Scale Machine Learning with Stochastic Gradient Descent
inferredcites →https://doi.org/10.1007/s10115-011-0463-8openalex-snapshot
Data preprocessing techniques for classification without discrimination
inferredcites →https://doi.org/10.1007/s10618-010-0190-xopenalex-snapshot
Three naive Bayes approaches for discrimination-free classification
inferredcites →https://doi.org/10.1007/s10844-019-00580-xopenalex-snapshot
Causal inference for social discrimination reasoning
inferredcites →https://doi.org/10.1016/j.fss.2005.06.004openalex-snapshot
Two-person zero-sum game approach for fuzzy multiple attribute decision making problems
inferredcites →https://doi.org/10.1023/a:1009725216438openalex-snapshot
A Two-Phase Exact Algorithm for MAX-SAT and Weighted MAX-SAT Problems
inferredcites →https://doi.org/10.1089/big.2016.0047openalex-snapshot
Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
inferredcites →https://doi.org/10.1109/cdc.2016.7798400openalex-snapshot
Disciplined convex-concave programming
inferredcites →https://doi.org/10.1109/icde48307.2020.00203openalex-snapshot
An Intersectional Definition of Fairness
inferredcites →https://doi.org/10.1109/icdm.2010.50openalex-snapshot
Discrimination Aware Decision Tree Learning
inferredcites →https://doi.org/10.1109/icdm.2012.45openalex-snapshot
Decision Theory for Discrimination-Aware Classification
inferredcites →https://doi.org/10.1109/icdmw.2009.83openalex-snapshot
Building Classifiers with Independency Constraints
inferredcites →https://doi.org/10.1126/science.aag3311openalex-snapshot
Preventing undesirable behavior of intelligent machines
inferredcites →https://doi.org/10.1137/0314054openalex-snapshot
Lagrange Duality Theory for Convex Control Problems
inferredcites →https://doi.org/10.1137/1.9781611974348.17openalex-snapshot
A Confidence-Based Approach for Balancing Fairness and Accuracy
inferredcites →https://doi.org/10.1145/2783258.2783311openalex-snapshot
Certifying and Removing Disparate Impact
inferredcites →https://doi.org/10.1145/3038912.3052660openalex-snapshot
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
inferredcites →https://doi.org/10.1145/3097983.3098095openalex-snapshot
Algorithmic Decision Making and the Cost of Fairness
inferredcites →https://doi.org/10.1145/3097983.3098167openalex-snapshot
Achieving Non-Discrimination in Data Release
inferredcites →https://doi.org/10.1145/3106237.3106277openalex-snapshot
Fairness testing: testing software for discrimination
inferredcites →https://doi.org/10.1145/3194770.3194776openalex-snapshot
Fairness definitions explained
inferredcites →https://doi.org/10.1145/3278721.3278779openalex-snapshot
Mitigating Unwanted Biases with Adversarial Learning
inferredcites →https://doi.org/10.1145/3287560.3287564openalex-snapshot
Fairness through Causal Awareness
inferredcites →https://doi.org/10.1145/3287560.3287586openalex-snapshot
Classification with Fairness Constraints
inferredcites →https://doi.org/10.1145/3287560.3287589openalex-snapshot
A comparative study of fairness-enhancing interventions in machine learning
inferredcites →https://doi.org/10.1145/3299869.3300079openalex-snapshot
Designing Fair Ranking Schemes
inferredcites →https://doi.org/10.1145/3306618.3314277openalex-snapshot
Active Fairness in Algorithmic Decision Making
inferredcites →https://doi.org/10.1145/3308558.3313559openalex-snapshot
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality
inferredcites →https://doi.org/10.1145/3366424.3383558openalex-snapshot
Fairness through Equality of Effort
inferredcites →https://doi.org/10.1145/3376898openalex-snapshot
A snapshot of the frontiers of fairness in machine learning
inferredcites →https://doi.org/10.1145/3442188.3445902openalex-snapshot
Fairness in Risk Assessment Instruments
inferredcites →https://doi.org/10.1145/3448016.3452787openalex-snapshot
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning
inferredcites →https://doi.org/10.1145/3457607openalex-snapshot
A Survey on Bias and Fairness in Machine Learning
inferredcites →https://doi.org/10.1145/3616865openalex-snapshot
Fairness in Machine Learning: A Survey
inferredcites →https://doi.org/10.1147/jrd.2019.2942287openalex-snapshot
AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias
inferredcites →https://doi.org/10.1177/0049124118782533openalex-snapshot
Fairness in Criminal Justice Risk Assessments: The State of the Art
inferredcites →https://doi.org/10.1198/jcgs.2010.08162openalex-snapshot
Bayesian Nonparametric Modeling for Causal Inference
inferredcites →https://doi.org/10.1207/s15327906mbr3301_3openalex-snapshot
The TETRAD Project: Constraint Based Aids to Causal Model Specification
inferredcites →https://doi.org/10.1214/009117904000000360openalex-snapshot
On Hoeffding’s inequalities
inferredcites →https://doi.org/10.1214/aoms/1177698776openalex-snapshot
The Conditional Level of Student's $t$ Test
inferredcites →https://doi.org/10.14778/3372716.3372723openalex-snapshot
Operationalizing individual fairness with pairwise fair representations
inferredcites →https://doi.org/10.14778/3407790.3407855openalex-snapshot
Rank aggregation algorithms for fair consensus
inferredcites →https://doi.org/10.14778/3415478.3415566openalex-snapshot
Fairly evaluating and scoring items in a data set
inferredcites →https://doi.org/10.14778/3461535.3463474openalex-snapshot
Automated feature engineering for algorithmic fairness
inferredcites →https://doi.org/10.1609/aaai.v32i1.11564openalex-snapshot
Fairness in Decision-Making — The Causal Explanation Formula
inferredcites →https://doi.org/10.1609/aaai.v33i01.33017801openalex-snapshot
Path-Specific Counterfactual Fairness
inferredcites →https://doi.org/10.24963/ijcai.2017/549openalex-snapshot
A Causal Framework for Discovering and Removing Direct and Indirect Discrimination
inferredcites →https://doi.org/10.4230/lipics.itcs.2017.43openalex-snapshot
Inherent Trade-Offs in the Fair Determination of Risk Scores
inferredcites →https://doi.org/10.48550/arxiv.1511.00830openalex-snapshot
The Variational Fair Autoencoder
inferredcites →https://doi.org/10.48550/arxiv.1610.02413openalex-snapshot
Equality of Opportunity in Supervised Learning
inferredcites →https://doi.org/10.48550/arxiv.1702.06081openalex-snapshot
Learning Non-Discriminatory Predictors
inferredcites →https://doi.org/10.48550/arxiv.1707.00010openalex-snapshot
From Parity to Preference-based Notions of Fairness in Classification
inferredcites →https://doi.org/10.48550/arxiv.1709.02012openalex-snapshot
On Fairness and Calibration
inferredcites →https://doi.org/10.48550/arxiv.1711.05144openalex-snapshot
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
inferredcites →https://doi.org/10.48550/arxiv.1803.02453openalex-snapshot
A Reductions Approach to Fair Classification
inferredcites →https://doi.org/10.48550/arxiv.1811.00103openalex-snapshot
The Price of Fair PCA: One Extra Dimension
inferredcites →https://doi.org/10.48550/arxiv.1910.12586openalex-snapshot
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
inferredcites →https://doi.org/10.48550/arxiv.2002.03508openalex-snapshot
Fair Correlation Clustering
inferredcites →https://doi.org/10.48550/arxiv.2010.03986openalex-snapshot
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms
inferredcites →https://doi.org/10.5441/002/edbt.2018.22openalex-snapshot
Online Set Selection with Fairness and Diversity Constraints
inferredcites →https://doi.org/10.5555/3295222.3295388openalex-snapshot
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4690073openalex-extracted
Adaptive Boosting with Fairness-Aware Reweighting Technique for Fair Classification
inferred← citeshttps://doi.org/10.1007/978-3-031-31414-8_3openalex-snapshot
Causal Inference in Data Analysis with Applications to Fairness and Explanations
inferred← citeshttps://doi.org/10.1007/978-3-032-19245-5_5openalex-snapshot
Machine Learning for Data Quality and Anomaly Detection in Digital Credit Finance: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1007/s00521-022-07136-1openalex-snapshot
Image fairness in deep learning: problems, models, and challenges
inferred← citeshttps://doi.org/10.1007/s10664-023-10402-yopenalex-snapshot
Fairness-aware machine learning engineering: how far are we?
inferred← citeshttps://doi.org/10.1007/s10994-024-06698-6openalex-snapshot
Is it still fair? A comparative evaluation of fairness algorithms through the lens of covariate drift
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107898openalex-snapshot
FAIR-CARE: A comparative evaluation of unfairness mitigation approaches
inferred← citeshttps://doi.org/10.1016/j.jss.2024.112244openalex-snapshot
Fairness for machine learning software in education: A systematic mapping study
inferred← citeshttps://doi.org/10.1101/2025.11.09.25339863openalex-snapshot
Refocusing Algorithmic Fairness on Feature-Level Bias: A Diagnostic Approach Using Dutch EHR Data
inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00015openalex-snapshot
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation
inferred← citeshttps://doi.org/10.1109/fuzz69877.2026.11626408openalex-snapshot
Improving Individual Fairness in Fuzzy Classifiers via Evolutionary Multi-Objective Optimization
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00303openalex-snapshot
Automated Data Cleaning Can Hurt Fairness in Machine Learning-based Decision Making
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00380openalex-snapshot
Towards an AutoML System for Fair Classifications∗
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00171openalex-snapshot
Mitigating Subgroup Unfairness in Machine Learning Classifiers: A Data-Driven Approach
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00172openalex-snapshot
Non-Invasive Fairness in Learning Through the Lens of Data Drift
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00174openalex-snapshot
Explainable Disparity Compensation for Efficient Fair Ranking
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00431openalex-snapshot
FairCR – An Evaluation and Recommendation System for Fair Classification Algorithms
inferred← citeshttps://doi.org/10.1109/icde65448.2025.00096openalex-snapshot
Experimental Analysis of Multi-Step Pipelines for Fair Classifications - More than the Sum of Their Parts?
inferred← citeshttps://doi.org/10.1109/tdsc.2026.3707938openalex-snapshot
Bic-DC: Scalable and Privacy-Preserving Multi-Party Collaborative Data Cleaning
inferred← citeshttps://doi.org/10.1109/tkde.2024.3365524openalex-snapshot
Automated Data Cleaning can Hurt Fairness in Machine Learning-Based Decision Making
inferred← citeshttps://doi.org/10.1145/3589267openalex-snapshot
Prerequisite-driven Fair Clustering on Heterogeneous Information Networks
inferred← citeshttps://doi.org/10.1145/3626728openalex-snapshot
F3KM: Federated, Fair, and Fast k-means
inferred← citeshttps://doi.org/10.1145/3654963openalex-snapshot
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport
inferred← citeshttps://doi.org/10.1145/3746252.3761277openalex-snapshot
FairRegBoost: An End-to-End Data Processing Framework for Fair and Scalable Regression
inferred← citeshttps://doi.org/10.1145/3777490.3777497openalex-snapshot
Practical Strategies for Applying the Disparate Impact Remover at Inference Time
inferred← citeshttps://doi.org/10.14778/3551793.3551824openalex-snapshot
Maximizing fair content spread via edge suggestion in social networks
inferred← citeshttps://doi.org/10.14778/3611479.3611498openalex-snapshot
Consistent Range Approximation for Fair Predictive Modeling
inferred← citeshttps://doi.org/10.14778/3749646.3749721openalex-snapshot
Stress-Testing ML Pipelines with Adversarial Data Corruption
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