Statistical inference for individual fairness
- Subha Maity
- Songkai Xue
- et al.
- 2021
- ICLR 2021
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56 results for Mikhail Yurochkin
Individually Fair Gradient Boosting
- Alexander Vargo
- Fan Zhang
- et al.
- 2021
- ICLR 2021
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
- Mikhail Yurochkin
- Yuekai Sun
- 2021
- ICLR 2021
Continuous Regularized Wasserstein Barycenters
- Lingxiao Li
- Aude Genevay
- et al.
- 2020
- NeurIPS 2020
Black Loans Matter: Distributionally Robust Fairness for Fighting Subgroup Discrimination
- Mark Weber
- Mikhail Yurochkin
- et al.
- 2020
- NeurIPS 2020
Model fusion with kullback-leibler divergence
- Sebastian Claici
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020
Two simple ways to learn individual fairness metrics from data
- Debarghya Mukherjee
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020
Auditing ML models for individual bias and unfairness
- Songkai Xue
- Mikhail Yurochkin
- et al.
- 2020
- AISTATS 2020
Training individually fair ML models with sensitive subspace robustness
- Mikhail Yurochkin
- Amanda Bower
- et al.
- 2020
- ICLR 2020
Federated Learning with Matched Averaging
- Hongyi Wang
- Mikhail Yurochkin
- et al.
- 2020
- ICLR 2020