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Fairness

3337 directly classified papers

Papers per year

Papers

Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation JMLR 2023
The Measure and Mismeasure of Fairness JMLR 2023
LEACE: Perfect linear concept erasure in closed form NIPS 2023
Fair, Polylog-Approximate Low-Cost Hierarchical Clustering NIPS 2023
Resources for Automated Identification of Online Gender-Based Violence: A Systematic Review ACL 2023
Feasible Recourse Plan via Diverse Interpolation AISTATS 2023
But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI AISTATS 2023
Computing Abductive Explanations for Boosted Trees AISTATS 2023
On the Strategyproofness of the Geometric Median AISTATS 2023
Group Fairness in Peer Review NIPS 2023
Don’t be fooled: label leakage in explanation methods and the importance of their quantitative evaluation AISTATS 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models NIPS 2023
ITI-GEN: Inclusive Text-to-Image Generation ICCV 2023
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning NIPS 2023
Group Robust Classification Without Any Group Information NIPS 2023
Can a Prediction’s Rank Offer a More Accurate Quantification of Bias? A Case Study Measuring Sexism in Debiased Language Models IJCNLP 2023
Algorithmics of Egalitarian versus Equitable Sequences of Committees IJCAI 2023
Adapting Fairness Interventions to Missing Values NIPS 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness NIPS 2023
Certification of Distributional Individual Fairness NIPS 2023
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions NIPS 2023
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NIPS 2023
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NIPS 2023
Fair Adaptive Experiments NIPS 2023
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach NIPS 2023