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2020 – today
- 2025
[j4]Boou Jiang
, Ya-xiang Yuan:
A momentum accelerated stochastic method and its application on policy search problems. Neural Comput. Appl. 37(8): 5957-5973 (2025)- [j3]Pengcheng Xie, Ya-xiang Yuan:
A Derivative-Free Method Using a New Underdetermined Quadratic Interpolation Model. SIAM J. Optim. 35(2): 1110-1133 (2025) - [j2]Bin Gao, Renfeng Peng, Ya-xiang Yuan:
Optimization on Product Manifolds under a Preconditioned Metric. SIAM J. Matrix Anal. Appl. 46(3): 1816-1845 (2025) - [c2]Yan Yang, Bin Gao, Ya-xiang Yuan:
Bilevel Reinforcement Learning via the Development of Hyper-gradient without Lower-Level Convexity. AISTATS 2025: 4780-4788 - [c1]Yan Yang, Bin Gao, Ya-xiang Yuan:
LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace. ICLR 2025 - [i4]Yan Yang, Bin Gao, Ya-xiang Yuan:
A space-decoupling framework for optimization on bounded-rank matrices with orthogonally invariant constraints. CoRR abs/2501.13830 (2025) - [i3]Bowen Li, Ya-xiang Yuan:
Convergent Proximal Multiblock ADMM for Nonconvex Dynamics-Constrained Optimization. CoRR abs/2506.17405 (2025) - 2024
- [j1]Bowen Li, Bin Shi, Ya-xiang Yuan:
Linear Convergence of Forward-Backward Accelerated Algorithms without Knowledge of the Modulus of Strong Convexity. SIAM J. Optim. 34(2): 2150-2168 (2024) - [i2]Bin Gao, Yan Yang, Ya-xiang Yuan:
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace. CoRR abs/2404.03331 (2024) - [i1]Yan Yang, Bin Gao, Ya-xiang Yuan:
Bilevel reinforcement learning via the development of hyper-gradient without lower-level convexity. CoRR abs/2405.19697 (2024)
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