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Mikhail Yurochkin
Mikhail Yurochkin
Research Staff Member, IBM Research and MIT-IBM Watson AI Lab
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Federated learning with matched averaging
H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni
arXiv preprint arXiv:2002.06440, 2020
10002020
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
6022019
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
1452017
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
1262020
Training individually fair ML models with sensitive subspace robustness
M Yurochkin, A Bower, Y Sun
1182020
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
952020
Hierarchical optimal transport for document representation
M Yurochkin, S Claici, E Chien, F Mirzazadeh, JM Solomon
Advances in neural information processing systems 32, 2019
872019
Post-processing for individual fairness
F Petersen, D Mukherjee, Y Sun, M Yurochkin
Advances in Neural Information Processing Systems 34, 25944-25955, 2021
632021
Sensei: Sensitive set invariance for enforcing individual fairness
M Yurochkin, Y Sun
arXiv preprint arXiv:2006.14168, 2020
582020
Outlier-robust optimal transport
D Mukherjee, A Guha, JM Solomon, Y Sun, M Yurochkin
International Conference on Machine Learning, 7850-7860, 2021
532021
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
45*2022
Continuous regularized wasserstein barycenters
L Li, A Genevay, M Yurochkin, JM Solomon
Advances in Neural Information Processing Systems 33, 17755-17765, 2020
442020
Statistical model aggregation via parameter matching
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang
Advances in neural information processing systems 32, 2019
342019
Federated learning with matched averaging. arXiv 2020
H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni
arXiv preprint arXiv:2002.06440, 0
34
Model fusion with Kullback-Leibler divergence
S Claici, M Yurochkin, S Ghosh, J Solomon
International conference on machine learning, 2038-2047, 2020
312020
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
29*2021
Individually fair ranking
A Bower, H Eftekhari, M Yurochkin, Y Sun
arXiv preprint arXiv:2103.11023, 2021
292021
Geometric Dirichlet means algorithm for topic inference
M Yurochkin, XL Nguyen
Advances in Neural Information Processing Systems 29, 2016
282016
Rewiring with positional encodings for graph neural networks
R Brüel-Gabrielsson, M Yurochkin, J Solomon
arXiv preprint arXiv:2201.12674, 2022
252022
Statistical inference for individual fairness
S Maity, S Xue, M Yurochkin, Y Sun
arXiv preprint arXiv:2103.16714, 2021
232021
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