Federated learning with matched averaging H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni arXiv preprint arXiv:2002.06440, 2020 | 1092 | 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 | 669 | 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 | 150 | 2017 |
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 | 137 | 2020 |
Training individually fair ML models with sensitive subspace robustness M Yurochkin, A Bower, Y Sun | 120 | 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 | 98 | 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 | 90 | 2019 |
Post-processing for individual fairness F Petersen, D Mukherjee, Y Sun, M Yurochkin Advances in Neural Information Processing Systems 34, 25944-25955, 2021 | 77 | 2021 |
Outlier-robust optimal transport D Mukherjee, A Guha, JM Solomon, Y Sun, M Yurochkin International Conference on Machine Learning, 7850-7860, 2021 | 61 | 2021 |
Sensei: Sensitive set invariance for enforcing individual fairness M Yurochkin, Y Sun arXiv preprint arXiv:2006.14168, 2020 | 58 | 2020 |
Your fairness may vary: pretrained language model fairness in toxic text classification IB Soares, D Wei, KN Ramamurthy, M Singh, M Yurochkin Annual Meeting of the Association for Computational Linguistics, 2022 | 49* | 2022 |
Continuous regularized wasserstein barycenters L Li, A Genevay, M Yurochkin, JM Solomon Advances in Neural Information Processing Systems 33, 17755-17765, 2020 | 45 | 2020 |
Federated learning with matched averaging. arXiv 2020 H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni arXiv preprint arXiv:2002.06440, 0 | 36 | |
Statistical model aggregation via parameter matching M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang Advances in neural information processing systems 32, 2019 | 34 | 2019 |
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 | 33* | 2021 |
Model fusion with Kullback-Leibler divergence S Claici, M Yurochkin, S Ghosh, J Solomon International conference on machine learning, 2038-2047, 2020 | 31 | 2020 |
Individually fair ranking A Bower, H Eftekhari, M Yurochkin, Y Sun arXiv preprint arXiv:2103.11023, 2021 | 30 | 2021 |
Geometric Dirichlet means algorithm for topic inference M Yurochkin, XL Nguyen Advances in Neural Information Processing Systems 29, 2016 | 29 | 2016 |
Rewiring with positional encodings for graph neural networks R Brüel-Gabrielsson, M Yurochkin, J Solomon arXiv preprint arXiv:2201.12674, 2022 | 28 | 2022 |
Statistical inference for individual fairness S Maity, S Xue, M Yurochkin, Y Sun arXiv preprint arXiv:2103.16714, 2021 | 25 | 2021 |