Yuekai Sun

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Mikhail YurochkinResearch Manager, Statistical Large Language Modeling, IBM Research and MIT-IBM Watson AI LabVerified email at umich.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerified email at princeton.edu
Michael SaundersProfessor of Operations Research, Stanford UniversityVerified email at stanford.edu
Jonathan TaylorProfessor of Statistics, Stanford UniversityVerified email at stanford.edu
Subha MaityUniversity of Michigan, Ann ArborVerified email at umich.edu
Debarghya MukherjeeAssistant Professor, Boston UniversityVerified email at umich.edu
Moulinath BanerjeeProfessor of StatisticsVerified email at umich.edu
Dennis SunData Scientist at Google; Professor at StanfordVerified email at stanford.edu
Amanda BowerTwitterVerified email at umich.edu
Songkai XuePh.D. Candidate in Statistics, University of MichiganVerified email at umich.edu
Felix PetersenStanford University, University of KonstanzVerified email at stanford.edu
Aritra GuhaData Science and AI Research, AT&TVerified email at umich.edu
Anil DamleCornell UniversityVerified email at cornell.edu
Ya'acov RitovUniversity of MichiganVerified email at umich.edu
Alexander VargoVerified email at umich.edu
Laurence YangQueen's UniversityVerified email at queensu.ca
Yang ChenUniversity of Michigan, Ann ArborVerified email at umich.edu
XuanLong NguyenUniversity of MichiganVerified email at umich.edu
Shuheng ZhouProfessor, University of California, RiversideVerified email at ucr.edu

Yuekai Sun

University of Michigan

Verified email at umich.edu - Homepage

algorithmic fairness federated learning transfer learning


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Federated learning with matched averaging H Wang, M Yurochkin, Y Sun, D Papailiopoulos, Y Khazaeni arXiv preprint arXiv:2002.06440, 2020	1212	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	1093	2019
Exact post-selection inference, with application to the lasso JD Lee, DL Sun, Y Sun, JE Taylor	910	2016
Proximal Newton-type methods for minimizing composite functions JD Lee, Y Sun, MA Saunders SIAM Journal on Optimization 24 (3), 1420-1443, 2014	361	2014
Communication-efficient sparse regression JD Lee, Q Liu, Y Sun, JE Taylor The Journal of Machine Learning Research 18 (1), 115-144, 2017	235	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	174	2011
Training individually fair ML models with sensitive subspace robustness M Yurochkin, A Bower, Y Sun	135	2020
Proximal Newton-type methods for convex optimization JD Lee, Y Sun, M Saunders Advances in Neural Information Processing Systems 25, 2012	127	2012
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	108	2020
Post-processing for individual fairness F Petersen, D Mukherjee, Y Sun, M Yurochkin Advances in Neural Information Processing Systems 34, 25944-25955, 2021	89	2021
Communication-efficient sparse regression: a one-shot approach JD Lee, Y Sun, Q Liu, JE Taylor arXiv preprint arXiv:1503.04337, 2015	68	2015
Sensei: Sensitive set invariance for enforcing individual fairness M Yurochkin, Y Sun arXiv preprint arXiv:2006.14168, 2020	64	2020
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	64	2015
Outlier-robust optimal transport D Mukherjee, A Guha, JM Solomon, Y Sun, M Yurochkin International Conference on Machine Learning, 7850-7860, 2021	62	2021
On model selection consistency of regularized M-estimators JD Lee, Y Sun, JE Taylor	61	2015
Exact post-selection inference with the lasso JD Lee, DL Sun, Y Sun, JE Taylor arXiv preprint arXiv:1311.6238 354 (355), 8, 2013	59	2013
Statistical convergence of the EM algorithm on Gaussian mixture models R Zhao, Y Li, Y Sun	49	2020
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	46	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	41	2017
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	38*	2021

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