Mikhail Yurochkin
Mikhail Yurochkin
Research Staff Member, IBM Research AI
Verifierad e-postadress på umich.edu - Startsida
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Multilevel clustering via Wasserstein means
N Ho, XL Nguyen, M Yurochkin, HH Bui, V Huynh, D Phung
arXiv preprint arXiv:1706.03883, 2017
592017
Bayesian nonparametric federated learning of neural networks
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, TN Hoang, Y Khazaeni
arXiv preprint arXiv:1905.12022, 2019
562019
Federated learning with matched averaging
H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni
arXiv preprint arXiv:2002.06440, 2020
522020
Hierarchical optimal transport for document representation
M Yurochkin, S Claici, E Chien, F Mirzazadeh, JM Solomon
Advances in Neural Information Processing Systems, 1601-1611, 2019
242019
Geometric Dirichlet means algorithm for topic inference
M Yurochkin, XL Nguyen
arXiv preprint arXiv:1610.09034, 2016
202016
Geometric Dirichlet means algorithm for topic inference
M Yurochkin, XL Nguyen
arXiv preprint arXiv:1610.09034, 2016
202016
Training individually fair ML models with sensitive subspace robustness
M Yurochkin, A Bower, Y Sun
International Conference on Learning Representations, 2019
162019
Conic scan-and-cover algorithms for nonparametric topic modeling
M Yurochkin, A Guha, XL Nguyen
Advances in Neural Information Processing Systems, 3878-3887, 2017
152017
Conic scan-and-cover algorithms for nonparametric topic modeling
M Yurochkin, A Guha, XL Nguyen
Advances in Neural Information Processing Systems, 3878-3887, 2017
152017
Online semi-supervised learning with bandit feedback
M Yurochkin, S Upadhyay, D Bouneffouf, M Agarwal, Y Khazaeni
62019
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
52019
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
5*2019
Statistical model aggregation via parameter matching
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang
Advances in Neural Information Processing Systems, 10956-10966, 2019
52019
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
42020
Auditing ML Models for Individual Bias and Unfairness
S Xue, M Yurochkin, Y Sun
arXiv preprint arXiv:2003.05048, 2020
42020
Alleviating label switching with optimal transport
P Monteiller, S Claici, E Chien, F Mirzazadeh, JM Solomon, M Yurochkin
Advances in Neural Information Processing Systems, 13634-13644, 2019
42019
Multi-way interacting regression via factorization machines
M Yurochkin, XL Nguyen
Advances in Neural Information Processing Systems, 2598-2606, 2017
42017
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
32020
Model Fusion with Kullback-Leibler Divergence
S Claici, M Yurochkin, S Ghosh, J Solomon
International Conference on Machine Learning, 2038-2047, 2020
22020
Continuous regularized wasserstein barycenters
L Li, A Genevay, M Yurochkin, J Solomon
arXiv preprint arXiv:2008.12534, 2020
22020
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Artiklar 1–20