| Federated learning with matched averaging H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni arXiv preprint arXiv:2002.06440, 2020 | 1273 | 2020 |
| Bayesian nonparametric federated learning of neural networks M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang, Y Khazaeni International conference on machine learning, 7252-7261, 2019 | 806 | 2019 |
| Ibm federated learning: an enterprise framework white paper v0. 1 H Ludwig, N Baracaldo, G Thomas, Y Zhou, A Anwar, S Rajamoni, Y Ong, ... arXiv preprint arXiv:2007.10987, 2020 | 167 | 2020 |
| Multilevel clustering via Wasserstein means N Ho, XL Nguyen, M Yurochkin, HH Bui, V Huynh, D Phung International conference on machine learning, 1501-1509, 2017 | 157 | 2017 |
| Training individually fair ML models with sensitive subspace robustness M Yurochkin, A Bower, Y Sun arXiv preprint arXiv:1907.00020, 2019 | 139 | 2019 |
| Two simple ways to learn individual fairness metrics from data D Mukherjee, M Yurochkin, M Banerjee, Y Sun International Conference on Machine Learning, 7097-7107, 2020 | 114 | 2020 |
| Hierarchical optimal transport for document representation M Yurochkin, S Claici, E Chien, F Mirzazadeh, JM Solomon Advances in neural information processing systems 32, 2019 | 96 | 2019 |
| Post-processing for individual fairness F Petersen, D Mukherjee, Y Sun, M Yurochkin Advances in Neural Information Processing Systems 34, 25944-25955, 2021 | 94 | 2021 |
| Outlier-robust optimal transport D Mukherjee, A Guha, JM Solomon, Y Sun, M Yurochkin International Conference on Machine Learning, 7850-7860, 2021 | 65 | 2021 |
| Sensei: Sensitive set invariance for enforcing individual fairness M Yurochkin, Y Sun arXiv preprint arXiv:2006.14168, 2020 | 65 | 2020 |
| Your fairness may vary: Pretrained language model fairness in toxic text classification I Baldini, D Wei, KN Ramamurthy, M Yurochkin, M Singh arXiv preprint arXiv:2108.01250, 2021 | 62 | 2021 |
| Continuous regularized wasserstein barycenters L Li, A Genevay, M Yurochkin, JM Solomon Advances in Neural Information Processing Systems 33, 17755-17765, 2020 | 50 | 2020 |
| Does enforcing fairness mitigate biases caused by subpopulation shift? S Maity, D Mukherjee, M Yurochkin, Y Sun Advances in Neural Information Processing Systems 34, 25773-25784, 2021 | 41* | 2021 |
| Statistical model aggregation via parameter matching M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang Advances in neural information processing systems 32, 2019 | 41 | 2019 |
| Federated learning with matched averaging. arXiv 2020 H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni arXiv preprint arXiv:2002.06440, 0 | 41 | |
| Model fusion with Kullback-Leibler divergence S Claici, M Yurochkin, S Ghosh, J Solomon International conference on machine learning, 2038-2047, 2020 | 38 | 2020 |
| Rewiring with positional encodings for graph neural networks R Brüel-Gabrielsson, M Yurochkin, J Solomon arXiv preprint arXiv:2201.12674, 2022 | 35 | 2022 |
| Individually fair ranking A Bower, H Eftekhari, M Yurochkin, Y Sun arXiv preprint arXiv:2103.11023, 2021 | 33 | 2021 |
| Geometric Dirichlet means algorithm for topic inference M Yurochkin, XL Nguyen Advances in Neural Information Processing Systems 29, 2016 | 30 | 2016 |
| Large language model routing with benchmark datasets T Shnitzer, A Ou, M Silva, K Soule, Y Sun, J Solomon, N Thompson, ... arXiv preprint arXiv:2309.15789, 2023 | 28 | 2023 |
Yuekai SunUniversity of MichiganVerified email at umich.edu