stiefel manifold

OSA: Echocardiography Video Segmentation via Orthogonalized State Update and Anatomical Prior-aware Feature Enhancement CVPR 2026 A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting IJCAI 2025 Causal Abstraction Learning based on the Semantic Embedding Principle ICML 2025 Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold ICML 2025 Riemannian Geometric-based Meta Learning AAAI 2025 Riemannian Optimization for LoRA on the Stiefel Manifold EMNLP 2025 Stiefel Flow Matching for Moment-Constrained Structure Elucidation ICLR 2025 Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold ICLR 2024 Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints JMLR 2024 Personalized PCA: Decoupling Shared and Unique Features JMLR 2024 Riemannian coordinate descent algorithms on matrix manifolds ICML 2024 Simple Orthogonal Graph Representation Learning (Student Abstract) AAAI 2024 A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NeurIPS 2023 Chordal Averaging on Flag Manifolds and Its Applications ICCV 2023 Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023 Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport ICLR 2023 Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold COLT 2023 Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold AAAI 2022 Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs AAAI 2022 Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold JMLR 2022 A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance ICML 2021 CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices AISTATS 2021 Decentralized Riemannian Gradient Descent on the Stiefel Manifold ICML 2021 On the Riemannian Search for Eigenvector Computation JMLR 2021 Projection Robust Wasserstein Barycenters ICML 2021