"riemannian optimization" Papers
12 papers found
Conference
Acceleration via silver step-size on Riemannian manifolds with applications to Wasserstein space
Jiyoung Park, Abhishek Roy, Jonathan W. Siegel et al.
NEURIPS 2025arXiv:2506.06160
1
citations
Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
Kangkang Deng, Jiachen Jin, Jiang Hu et al.
NEURIPS 2025arXiv:2510.18617
1
citations
Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space
Mingyang Yi, Bohan Wang
NEURIPS 2025arXiv:2401.13530
Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization
Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan
ICLR 2025
13
citations
PoLAR: Polar-Decomposed Low-Rank Adapter Representation
Kai Lion, Liang Zhang, Bingcong Li et al.
NEURIPS 2025arXiv:2506.03133
5
citations
StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold
Zhizhong Li, Sina Sajadmanesh, Jingtao Li et al.
NEURIPS 2025spotlightarXiv:2510.01938
4
citations
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
Yuchen Li, Laura Balzano, Deanna Needell et al.
ICML 2024arXiv:2405.03073
1
citations
Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
David Martínez-Rubio, Christophe Roux, Sebastian Pokutta
ICML 2024arXiv:2403.10429
3
citations
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors
Yannan He, Garvita Tiwari, Tolga Birdal et al.
CVPR 2024highlightarXiv:2403.03122
22
citations
Optimization without Retraction on the Random Generalized Stiefel Manifold
Simon Vary, Pierre Ablin, Bin Gao et al.
ICML 2024arXiv:2405.01702
6
citations
Riemannian coordinate descent algorithms on matrix manifolds
Andi Han, Pratik Kumar Jawanpuria, Bamdev Mishra
ICML 2024arXiv:2406.02225
8
citations
Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
Fangzhao Zhang, Mert Pilanci
ICML 2024arXiv:2402.02347
35
citations