| Federated learning with matched averaging H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni arXiv preprint arXiv:2002.06440, 2020 | 345 | 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 | 230 | 2019 |
| 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 | 108 | 2017 |
| Training individually fair ML models with sensitive subspace robustness M Yurochkin, A Bower, Y Sun arXiv preprint arXiv:1907.00020, 2019 | 58 | 2019 |
| Hierarchical optimal transport for document representation M Yurochkin, S Claici, E Chien, F Mirzazadeh, JM Solomon Advances in Neural Information Processing Systems 32, 2019 | 55 | 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 | 49 | 2020 |
| 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 | 35 | 2020 |
| Geometric Dirichlet means algorithm for topic inference M Yurochkin, XL Nguyen Advances in Neural Information Processing Systems 29, 2016 | 23 | 2016 |
| Sensei: Sensitive set invariance for enforcing individual fairness M Yurochkin, Y Sun arXiv preprint arXiv:2006.14168, 2020 | 22 | 2020 |
| Outlier-robust optimal transport D Mukherjee, A Guha, JM Solomon, Y Sun, M Yurochkin International Conference on Machine Learning, 7850-7860, 2021 | 19 | 2021 |
| Continuous regularized wasserstein barycenters L Li, A Genevay, M Yurochkin, JM Solomon Advances in Neural Information Processing Systems 33, 17755-17765, 2020 | 18 | 2020 |
| Statistical model aggregation via parameter matching M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang Advances in Neural Information Processing Systems 32, 2019 | 17 | 2019 |
| Conic scan-and-cover algorithms for nonparametric topic modeling M Yurochkin, A Guha, XL Nguyen Advances in Neural Information Processing Systems 30, 2017 | 17 | 2017 |
| Model fusion with Kullback-Leibler divergence S Claici, M Yurochkin, S Ghosh, J Solomon International Conference on Machine Learning, 2038-2047, 2020 | 14 | 2020 |
| Individually Fair Ranking A Bower, H Eftekhari, M Yurochkin, Y Sun arXiv preprint arXiv:2103.11023, 2021 | 12 | 2021 |
| Federated learning with matched averaging. arXiv 2020 H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni arXiv preprint arXiv:2002.06440, 0 | 11 | |
| Auditing ml models for individual bias and unfairness S Xue, M Yurochkin, Y Sun International Conference on Artificial Intelligence and Statistics, 4552-4562, 2020 | 10 | 2020 |
| Post-processing for individual fairness F Petersen, D Mukherjee, Y Sun, M Yurochkin Advances in Neural Information Processing Systems 34, 25944-25955, 2021 | 9 | 2021 |
| Scalable inference of topic evolution via models for latent geometric structures M Yurochkin, Z Fan, A Guha, P Koutris, XL Nguyen Advances in Neural Information Processing Systems, 5949-5959, 2019 | 9* | 2019 |
| Measuring the sensitivity of Gaussian processes to kernel choice WT Stephenson, S Ghosh, TD Nguyen, M Yurochkin, SK Deshpande, ... arXiv preprint arXiv:2106.06510, 2021 | 6 | 2021 |
Yuekai SunAssistant Professor of Statistics, University of MichiganVerified email at umich.edu
