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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
3632020
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
2412019
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
1102017
Training individually fair ML models with sensitive subspace robustness
M Yurochkin, A Bower, Y Sun
arXiv preprint arXiv:1907.00020, 2019
602019
Hierarchical optimal transport for document representation
M Yurochkin, S Claici, E Chien, F Mirzazadeh, JM Solomon
Advances in Neural Information Processing Systems 32, 2019
562019
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
552020
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
392020
Geometric Dirichlet means algorithm for topic inference
M Yurochkin, XL Nguyen
Advances in Neural Information Processing Systems 29, 2016
242016
Sensei: Sensitive set invariance for enforcing individual fairness
M Yurochkin, Y Sun
arXiv preprint arXiv:2006.14168, 2020
232020
Continuous regularized wasserstein barycenters
L Li, A Genevay, M Yurochkin, JM Solomon
Advances in Neural Information Processing Systems 33, 17755-17765, 2020
202020
Outlier-robust optimal transport
D Mukherjee, A Guha, JM Solomon, Y Sun, M Yurochkin
International Conference on Machine Learning, 7850-7860, 2021
192021
Conic scan-and-cover algorithms for nonparametric topic modeling
M Yurochkin, A Guha, XL Nguyen
Advances in Neural Information Processing Systems 30, 2017
182017
Statistical model aggregation via parameter matching
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang
Advances in Neural Information Processing Systems 32, 2019
172019
Post-processing for individual fairness
F Petersen, D Mukherjee, Y Sun, M Yurochkin
Advances in Neural Information Processing Systems 34, 25944-25955, 2021
162021
Model fusion with Kullback-Leibler divergence
S Claici, M Yurochkin, S Ghosh, J Solomon
International Conference on Machine Learning, 2038-2047, 2020
142020
Federated learning with matched averaging. arXiv 2020
H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni
arXiv preprint arXiv:2002.06440, 0
14
Individually Fair Ranking
A Bower, H Eftekhari, M Yurochkin, Y Sun
arXiv preprint arXiv:2103.11023, 2021
132021
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
10*2021
Auditing ml models for individual bias and unfairness
S Xue, M Yurochkin, Y Sun
International Conference on Artificial Intelligence and Statistics, 4552-4562, 2020
102020
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
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