Model Sparsity Can Simplify Machine Unlearning
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2023
- NeurIPS 2023
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85 results for Fairness, Accountability, Transparency
Post-processing for Individual Fairness
- Felix Petersen
- Debarghya Mukherjee
- et al.
- 2021
- NeurIPS 2021
- Topic
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
- Max Biggs
- Wei Sun
- et al.
- 2021
- ICML 2021
Statistical inference for individual fairness
- Subha Maity
- Songkai Xue
- et al.
- 2021
- ICLR 2021
Individually Fair Gradient Boosting
- Alexander Vargo
- Fan Zhang
- et al.
- 2021
- ICLR 2021
Individually Fair Rankings
- Amanda Bower
- Hamid Eftekhari
- et al.
- 2021
- ICLR 2021
Fair Mixup: Fairness via Interpolation
- Ching-Yao chuang
- Youssef Mroueh
- 2021
- ICLR 2021
Two simple ways to learn individual fairness metrics from data
- Debarghya Mukherjee
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020
Training individually fair ML models with sensitive subspace robustness
- Mikhail Yurochkin
- Amanda Bower
- et al.
- 2020
- ICLR 2020
ZEUS: Analyzing Safety of Smart Contracts
- Sukrit Kalra
- Seep Goel
- et al.
- 2018
- NDSS 2018