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Jiaxiang Li
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Year
Stochastic zeroth-order Riemannian derivative estimation and optimization
J Li, K Balasubramanian, S Ma
Mathematics of Operations Research 48 (2), 1183-1211, 2023
30*2023
A Riemannian ADMM
J Li, S Ma, T Srivastava
arXiv preprint arXiv:2211.02163, 2022
122022
Federated learning on Riemannian manifolds
J Li, S Ma
Applied Set-Valued Analysis and Optimization 5, 213-232, 2023
52023
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
Y Zhang, P Li, J Hong, J Li, Y Zhang, W Zheng, PY Chen, JD Lee, W Yin, ...
arXiv preprint arXiv:2402.11592, 2024
12024
Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms
J Li, K Balasubramanian, S Ma
arXiv preprint arXiv:2309.14506, 2023
12023
Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization
J Li, X Chen, S Ma, M Hong
arXiv preprint arXiv:2402.08821, 2024
2024
Riemannian Bilevel Optimization
J Li, S Ma
arXiv preprint arXiv:2402.02019, 2024
2024
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