Yuekai Sun
Zitiert von
Zitiert von
Federated learning with matched averaging
H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni
arXiv preprint arXiv:2002.06440, 2020
Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v. 3.0
L Heirendt, S Arreckx, T Pfau, SN Mendoza, A Richelle, A Heinken, ...
Nature protocols 14 (3), 639-702, 2019
Exact post-selection inference, with application to the lasso
JD Lee, DL Sun, Y Sun, JE Taylor
Proximal Newton-type methods for minimizing composite functions
JD Lee, Y Sun, MA Saunders
SIAM Journal on Optimization 24 (3), 1420-1443, 2014
Communication-efficient sparse regression
JD Lee, Q Liu, Y Sun, JE Taylor
The Journal of Machine Learning Research 18 (1), 115-144, 2017
Nanostructure on taro leaves resists fouling by colloids and bacteria under submerged conditions
J Ma, Y Sun, K Gleichauf, J Lou, Q Li
Langmuir 27 (16), 10035-10040, 2011
Proximal Newton-type methods for convex optimization
JD Lee, Y Sun, M Saunders
Advances in Neural Information Processing Systems 25, 2012
Training individually fair ML models with sensitive subspace robustness
M Yurochkin, A Bower, Y Sun
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
Post-processing for individual fairness
F Petersen, D Mukherjee, Y Sun, M Yurochkin
Advances in Neural Information Processing Systems 34, 25944-25955, 2021
Communication-efficient sparse regression: a one-shot approach
JD Lee, Y Sun, Q Liu, JE Taylor
arXiv preprint arXiv:1503.04337, 2015
Do genome‐scale models need exact solvers or clearer standards?
A Ebrahim, E Almaas, E Bauer, A Bordbar, AP Burgard, RL Chang, ...
Molecular systems biology 11 (10), 831, 2015
Outlier-robust optimal transport
D Mukherjee, A Guha, JM Solomon, Y Sun, M Yurochkin
International Conference on Machine Learning, 7850-7860, 2021
On model selection consistency of regularized M-estimators
JD Lee, Y Sun, JE Taylor
Sensei: Sensitive set invariance for enforcing individual fairness
M Yurochkin, Y Sun
arXiv preprint arXiv:2006.14168, 2020
Exact post-selection inference with the lasso
JD Lee, DL Sun, Y Sun, JE Taylor
arXiv preprint arXiv:1311.6238 354 (355), 8, 2013
Statistical convergence of the EM algorithm on Gaussian mixture models
R Zhao, Y Li, Y Sun
Systems biology definition of the core proteome of metabolism and expression is consistent with high-throughput data
L Yang, J Tan, EJ O’Brien, JM Monk, D Kim, HJ Li, P Charusanti, ...
Proceedings of the National Academy of Sciences 112 (34), 10810-10815, 2015
On conditional parity as a notion of non-discrimination in machine learning
Y Ritov, Y Sun, R Zhao
arXiv preprint arXiv:1706.08519, 2017
On model selection consistency of M-estimators with geometrically decomposable penalties
JD Lee, Y Sun, JE Taylor
arXiv preprint arXiv:1305.7477 241, 2013
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