Individually Fair Rankings
- Amanda Bower
- Hamid Eftekhari
- et al.
- 2021
- ICLR 2021
Conference paper
Publications
66 results for Mikhail Yurochkin
Statistical inference for individual fairness
- Subha Maity
- Songkai Xue
- et al.
- 2021
- ICLR 2021
Conference paperIndividually Fair Gradient Boosting
- Alexander Vargo
- Fan Zhang
- et al.
- 2021
- ICLR 2021
Conference paperContinuous Regularized Wasserstein Barycenters
- Lingxiao Li
- Aude Genevay
- et al.
- 2020
- NeurIPS 2020
Conference paperBlack Loans Matter: Distributionally Robust Fairness for Fighting Subgroup Discrimination
- Mark Weber
- Mikhail Yurochkin
- et al.
- 2020
- NeurIPS 2020
Workshop paperTwo simple ways to learn individual fairness metrics from data
- Debarghya Mukherjee
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020
Conference paperModel fusion with kullback-leibler divergence
- Sebastian Claici
- Mikhail Yurochkin
- et al.
- 2020
- ICML 2020
Conference paperAuditing ML models for individual bias and unfairness
- Songkai Xue
- Mikhail Yurochkin
- et al.
- 2020
- AISTATS 2020
Conference paperFederated Learning with Matched Averaging
- Hongyi Wang
- Mikhail Yurochkin
- et al.
- 2020
- ICLR 2020
Conference paperTraining individually fair ML models with sensitive subspace robustness
- Mikhail Yurochkin
- Amanda Bower
- et al.
- 2020
- ICLR 2020
Conference paper