Stebėti
Mikhail Yurochkin
Mikhail Yurochkin
Research Manager, Statistical Large Language Modeling, IBM Research and MIT-IBM Watson AI Lab
Patvirtintas el. paštas umich.edu - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Federated learning with matched averaging
H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni
arXiv preprint arXiv:2002.06440, 2020
13962020
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
8812019
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
1842020
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
1682017
Training individually fair ML models with sensitive subspace robustness
M Yurochkin, A Bower, Y Sun
arXiv preprint arXiv:1907.00020, 2019
1482019
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
1192020
Hierarchical optimal transport for document representation
M Yurochkin, S Claici, E Chien, F Mirzazadeh, JM Solomon
Advances in neural information processing systems 32, 2019
1062019
Post-processing for individual fairness
F Petersen, D Mukherjee, Y Sun, M Yurochkin
Advances in Neural Information Processing Systems 34, 25944-25955, 2021
1012021
Outlier-robust optimal transport
D Mukherjee, A Guha, JM Solomon, Y Sun, M Yurochkin
International Conference on Machine Learning, 7850-7860, 2021
722021
Your fairness may vary: Pretrained language model fairness in toxic text classification
I Baldini, D Wei, KN Ramamurthy, M Yurochkin, M Singh
arXiv preprint arXiv:2108.01250, 2021
692021
Sensei: Sensitive set invariance for enforcing individual fairness
M Yurochkin, Y Sun
arXiv preprint arXiv:2006.14168, 2020
682020
Continuous regularized wasserstein barycenters
L Li, A Genevay, M Yurochkin, JM Solomon
Advances in Neural Information Processing Systems 33, 17755-17765, 2020
582020
Large language model routing with benchmark datasets
T Shnitzer, A Ou, M Silva, K Soule, Y Sun, J Solomon, N Thompson, ...
arXiv preprint arXiv:2309.15789, 2023
512023
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
45*2021
Federated learning with matched averaging. arXiv 2020
H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni
arXiv preprint arXiv:2002.06440, 0
42
Rewiring with positional encodings for graph neural networks
R Brüel-Gabrielsson, M Yurochkin, J Solomon
arXiv preprint arXiv:2201.12674, 2022
392022
Model fusion with Kullback-Leibler divergence
S Claici, M Yurochkin, S Ghosh, J Solomon
International conference on machine learning, 2038-2047, 2020
392020
Statistical model aggregation via parameter matching
M Yurochkin, M Agarwal, S Ghosh, K Greenewald, N Hoang
Advances in neural information processing systems 32, 2019
392019
Fusing models with complementary expertise
H Wang, FM Polo, Y Sun, S Kundu, E Xing, M Yurochkin
arXiv preprint arXiv:2310.01542, 2023
372023
Individually fair ranking
A Bower, H Eftekhari, M Yurochkin, Y Sun
arXiv preprint arXiv:2103.11023, 2021
332021
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Straipsniai 1–20