Mikhail Yurochkin
Mikhail Yurochkin
Research Staff Member, IBM Research AI
Verified email at umich.edu - Homepage
Cited by
Cited by
Federated learning with matched averaging
H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni
arXiv preprint arXiv:2002.06440, 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
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
Hierarchical optimal transport for document representation
M Yurochkin, S Claici, E Chien, F Mirzazadeh, J Solomon
arXiv preprint arXiv:1906.10827, 2019
Training individually fair ML models with sensitive subspace robustness
M Yurochkin, A Bower, Y Sun
arXiv preprint arXiv:1907.00020, 2019
Geometric Dirichlet means algorithm for topic inference
M Yurochkin, XL Nguyen
arXiv preprint arXiv:1610.09034, 2016
Conic Scan-and-Cover algorithms for nonparametric topic modeling
M Yurochkin, A Guha, XL Nguyen
arXiv preprint arXiv:1710.02952, 2017
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
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
Auditing ML Models for Individual Bias and Unfairness
S Xue, M Yurochkin, Y Sun
International Conference on Artificial Intelligence and Statistics, 4552-4562, 2020
Statistical model aggregation via parameter matching
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, TN Hoang
arXiv preprint arXiv:1911.00218, 2019
Online semi-supervised learning with bandit feedback
M Yurochkin, S Upadhyay, D Bouneffouf, M Agarwal, Y Khazaeni
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
Continuous regularized wasserstein barycenters
L Li, A Genevay, M Yurochkin, J Solomon
arXiv preprint arXiv:2008.12534, 2020
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness
M Yurochkin, Y Sun
arXiv preprint arXiv:2006.14168, 2020
Alleviating label switching with optimal transport
P Monteiller, S Claici, E Chien, F Mirzazadeh, J Solomon, M Yurochkin
arXiv preprint arXiv:1911.02053, 2019
Dirichlet Simplex Nest and Geometric Inference
M Yurochkin, A Guha, Y Sun, XL Nguyen
Proceedings of the 36th International Conference on Machine Learning 97 …, 2019
Model Fusion with Kullback-Leibler Divergence
S Claici, M Yurochkin, S Ghosh, J Solomon
International Conference on Machine Learning, 2038-2047, 2020
Multi-way interacting regression via factorization machines
M Yurochkin, XL Nguyen, N Vasiloglou
arXiv preprint arXiv:1709.09301, 2017
Outlier-Robust Optimal Transport
D Mukherjee, A Guha, J Solomon, Y Sun, M Yurochkin
arXiv preprint arXiv:2012.07363, 2020
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