Jiaming Yang

2022202320242025202610 46 59 75 6

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Michał DerezińskiAssistant Professor at University of MichiganVerified email at umich.edu
Zhao SongUniversity of California, BerkeleyVerified email at ias.edu
Beidi ChenCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Christopher RéComputer Science, Stanford UniversityVerified email at cs.stanford.edu
Tri DaoPrinceton University, Together AIVerified email at princeton.edu
Atri RudraKatherine Johnson Chair in AI, Professor, CSE, University at BuffaloVerified email at buffalo.edu
Kaizhao LiangUniversity of Texas at AustinVerified email at utexas.edu
Xiaoxiao LiAssociate Professor, UBC; Vector Institute; CIFAR AI Chair; Canada Research ChairVerified email at ece.ubc.ca
Zachary FrangellaResearch Scientist, Granica.aiVerified email at stanford.edu
Madeleine UdellAssistant Professor, Management Science and Engineering, Stanford UniversityVerified email at stanford.edu
Pratik RathoreStanford UniversityVerified email at stanford.edu
Christopher MuscoAssociate Professor, New York UniversityVerified email at nyu.edu
Deanna NeedellProfessor of Mathematics, UCLAVerified email at cmc.edu
Elizaveta RebrovaPrinceton ORFEVerified email at princeton.edu
Yongyi YangUniversity of MichiganVerified email at umich.edu
Wei HuAssistant Professor of Computer Science and Engineering, University of MichiganVerified email at umich.edu

Jiaming Yang

Verified email at umich.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Pixelated butterfly: Simple and efficient sparse training for neural network models T Dao, B Chen, K Liang, J Yang, Z Song, A Rudra, C Re International Conference on Learning Representations, 2022	110	2022
Federated Adversarial Learning: A Framework with Convergence Analysis X Li, Z Song, J Yang International Conference on Machine Learning, 2023	42	2023
Solving dense linear systems faster than via preconditioning M Dereziński, J Yang Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 1118-1129, 2024	19	2024
Faster linear systems and matrix norm approximation via multi-level sketched preconditioning M Dereziński, C Musco, J Yang Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2025	10	2025
Randomized Kaczmarz methods with beyond-Krylov convergence M Dereziński, D Needell, E Rebrova, J Yang SIAM Journal on Matrix Analysis and Applications 46 (4), 2558-2588, 2025	8	2025
Have ASkotch: A Neat Solution for Large-scale Kernel Ridge Regression P Rathore, Z Frangella, J Yang, M Dereziński, M Udell arXiv preprint arXiv:2407.10070, 2025	7*	2025
HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks Y Yang, J Yang, W Hu, M Dereziński arXiv preprint arXiv:2403.18142, 2024		2024

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