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Fairness

3,511 papers

Papers per year

251
692
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'25

Papers

FARE: Provably Fair Representation Learning with Practical Certificates ICML 2023
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation ICML 2023
Loss Balancing for Fair Supervised Learning ICML 2023
Probabilistic Concept Bottleneck Models ICML 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning ICML 2023
FAIRER: Fairness as Decision Rationale Alignment ICML 2023
Learning Antidote Data to Individual Unfairness ICML 2023
Propensity Matters: Measuring and Enhancing Balancing for Recommendation ICML 2023
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion ICML 2023
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations ICML 2023
Fair yet Asymptotically Equal Collaborative Learning ICML 2023
Shapley Based Residual Decomposition for Instance Analysis ICML 2023
2D-Shapley: A Framework for Fragmented Data Valuation ICML 2023
Differential Privacy has Bounded Impact on Fairness in Classification ICML 2023
Superhuman Fairness ICML 2023
The Statistical Scope of Multicalibration ICML 2023
On the Within-Group Fairness of Screening Classifiers ICML 2023
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark ICML 2023
Fair Neighbor Embedding ICML 2023
Collaborative Causal Inference with Fair Incentives ICML 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting ICML 2023
Improving Fair Training under Correlation Shifts ICML 2023
When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML 2023
Fair Densities via Boosting the Sufficient Statistics of Exponential Families ICML 2023
When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction ICML 2023