Individually Fair Rankings
- Amanda Bower
- Hamid Eftekhari
- et al.
- 2021
- ICLR 2021
Conference paper
Publications
65 results for Mikhail Yurochkin
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
- Mikhail Yurochkin
- Yuekai Sun
- 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 paperTraining individually fair ML models with sensitive subspace robustness
- Mikhail Yurochkin
- Amanda Bower
- et al.
- 2020
- ICLR 2020
Conference paperFederated Learning with Matched Averaging
- Hongyi Wang
- Mikhail Yurochkin
- et al.
- 2020
- ICLR 2020
Conference paperHierarchical optimal transport for document representation
- Mikhail Yurochkin
- Farzaneh Mirzazadeh
- et al.
- 2019
- NeurIPS 2019
Conference paper