riemannian optimization

Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization JMLR 2026 Generalized-CVO: Fast and Correspondence-Free Local Point Cloud Registration with Second Order Riemannian Optimization CVPR 2026 Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization AAAI 2026 RoZO: Geometry-Aware Zeroth-Order Fine-Tuning on Low-Rank Adapters for Black-Box Large Language Models EACL 2026 Test-time Diverse Reasoning by Riemannian Activation Steering AAAI 2026 Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties AISTATS 2025 Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization AAAI 2025 Get rid of your constraints and reparametrize: A study in NNLS and implicit bias AISTATS 2025 Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization ICLR 2025 Riemannian Direct Trajectory Optimization of Rigid Bodies on Matrix Lie Groups RSS 2025 Riemannian Optimization for LoRA on the Stiefel Manifold EMNLP 2025 Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding EMNLP 2024 Faster Randomized Methods for Orthogonality Constrained Problems JMLR 2024 Fast Hyperboloid Decision Tree Algorithms ICLR 2024 Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery JMLR 2024 Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame NeurIPS 2024 Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints JMLR 2024 Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach AISTATS 2024 Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties COLT 2023 Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting ACML 2023 A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NeurIPS 2023 Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023 Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation ICCV 2023 Global optimality for Euclidean CCCP under Riemannian convexity ICML 2023 Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion JMLR 2023