"algorithmic fairness" Papers
12 papers found
Conference
FairGen: Enhancing Fairness in Text-to-Image Diffusion Models via Self-Discovering Latent Directions
Yilei Jiang, Wei-Hong Li, Yiyuan Zhang et al.
ICCV 2025arXiv:2412.18810
3
citations
Fairness-aware Bayes Optimal Functional Classification
Xiaoyu Hu, Gengyu Xue, Zhenhua Lin et al.
NEURIPS 2025arXiv:2505.09471
Fair Submodular Cover
Wenjing Chen, Shuo Xing, Samson Zhou et al.
ICLR 2025arXiv:2407.04804
8
citations
Statistical Parity with Exponential Weights
Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
NEURIPS 2025
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Yong Liu, (Andrew) Zhanke Zhou, Zhicong Li et al.
ICLR 2025arXiv:2310.11211
7
citations
Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements
Max Springer, MohammadTaghi Hajiaghayi, Hadi Yami
AAAI 2024paperarXiv:2305.16081
18
citations
An Information-Flow Perspective on Algorithmic Fairness
Samuel Teuber, Bernhard Beckert
AAAI 2024paperarXiv:2312.10128
A Sequentially Fair Mechanism for Multiple Sensitive Attributes
Francois HU, Philipp Ratz, Arthur Charpentier
AAAI 2024paperarXiv:2309.06627
10
citations
Can a Few Decide for Many? The Metric Distortion of Sortition
Ioannis Caragiannis, Evi Micha, Jannik Peters
ICML 2024arXiv:2406.02400
9
citations
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
Yu Tian, Congcong Wen, Min Shi et al.
ECCV 2024arXiv:2407.08813
27
citations
FairProof : Confidential and Certifiable Fairness for Neural Networks
Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh et al.
ICML 2024arXiv:2402.12572
19
citations
Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
Shomik Jain, Kathleen A. Creel, Ashia Wilson
ICML 2024