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Papers
Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing
JMLR 2026
Bayes-Optimal Fair Classification with Multiple Sensitive Features
AAAI 2026
Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity
AAAI 2026
Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint
AAAI 2026
Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint (Student Abstract)
AAAI 2026
Demographic Parity in Regression and Classification Within the Unawareness Framework
JMLR 2026
Fairness Aware Reinforcement Learning via Proximal Policy Optimization
AAAI 2026
Hyperbolic Relational Prompts for Intersectional Fairness in Medical VLMs
CVPR 2026
Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation
ICCV 2025
First-Person Fairness in Chatbots
ICLR 2025
Meta Optimality for Demographic Parity Constrained Regression via Post-Processing
ICML 2025
Optimal Fair Learning Robust to Adversarial Distribution Shift
ICML 2025
Towards Fairness Assessment of Dutch Hate Speech Detection
ACL 2025
Towards Fairness with Limited Demographics via Disentangled Learning
IJCAI 2025
Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers
NAACL 2025
Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning
AISTATS 2024
An Information-Flow Perspective on Algorithmic Fairness
AAAI 2024
Bias and Diversity in Synthetic-Based Face Recognition
WACV 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective
AAAI 2024
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
ICLR 2024
Fairness guarantees in multi-class classification with demographic parity
JMLR 2024
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing
AAAI 2024
Fair Wasserstein Coresets
NeurIPS 2024
Learning Fair Policies for Multi-Stage Selection Problems from Observational Data
AAAI 2024
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
ICLR 2024