Poster "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 2025arXiv:2506.06160

Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing

Kangkang Deng, Jiachen Jin, Jiang Hu et al.

NEURIPS 2025arXiv:2510.18617

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

PoLAR: Polar-Decomposed Low-Rank Adapter Representation

Kai Lion, Liang Zhang, Bingcong Li et al.

NEURIPS 2025arXiv:2506.03133

Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms

Yuchen Li, Laura Balzano, Deanna Needell et al.

ICML 2024arXiv:2405.03073

Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point

David Martínez-Rubio, Christophe Roux, Sebastian Pokutta

ICML 2024arXiv:2403.10429

Optimization without Retraction on the Random Generalized Stiefel Manifold

Simon Vary, Pierre Ablin, Bin Gao et al.

ICML 2024arXiv:2405.01702

Riemannian coordinate descent algorithms on matrix manifolds

Andi Han, Pratik Kumar Jawanpuria, Bamdev Mishra

ICML 2024arXiv:2406.02225

Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models

Fangzhao Zhang, Mert Pilanci

ICML 2024arXiv:2402.02347