2025 "riemannian optimization" Papers

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Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space

Jiyoung Park, Abhishek Roy, Jonathan W. Siegel et al.

NEURIPS 2025posterarXiv:2506.06160

Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing

Kangkang Deng, Jiachen Jin, Jiang Hu et al.

NEURIPS 2025posterarXiv:2510.18617

Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space

Mingyang Yi, Bohan Wang

NEURIPS 2025posterarXiv:2401.13530

Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization

Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan

ICLR 2025poster

PoLAR: Polar-Decomposed Low-Rank Adapter Representation

Kai Lion, Liang Zhang, Bingcong Li et al.

NEURIPS 2025posterarXiv:2506.03133

StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold

Zhizhong Li, Sina Sajadmanesh, Jingtao Li et al.

NEURIPS 2025spotlightarXiv:2510.01938