Research map / Learning theory and algorithms / Fairness
Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints
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
- Too Relaxed to Be Fair (ICML 2020 · similarity 0.89)
- Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference (NeurIPS 2025 · similarity 0.87)
- FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA (NeurIPS 2025 · similarity 0.86)
- Enhancing Robust Fairness via Confusional Spectral Regularization (ICLR 2025 · similarity 0.86)
- fairret: a Framework for Differentiable Fairness Regularization Terms (ICLR 2024 · similarity 0.85)
- Classes Are Not Equal: An Empirical Study on Image Recognition Fairness (CVPR 2024 · similarity 0.85)
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.
