Research map / Learning theory and algorithms / Fairness
COPF: An Online Framework for Deployment-Stable Counterfactual Fairness in Evolving Graphs
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions (NeurIPS 2024 · similarity 0.85)
- FDGen: A Fairness-Aware Graph Generation Model (ICML 2025 · similarity 0.84)
- Collective Counterfactual Explanations: Balancing Individual Goals and Collective Dynamics (NeurIPS 2025 · similarity 0.84)
- Fairness in Social Influence Maximization via Optimal Transport (NeurIPS 2024 · similarity 0.84)
- Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation (ICLR 2025 · similarity 0.84)
- Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness (AAAI 2025 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
