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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 101–110 of 153 papers

TitleStatusHype
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies—0
Worst-Case Riemannian Optimization with Uncertain Target Steering Vector for Slow-Time Transmit Sequence of Cognitive Radar—0
Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning—0
Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization—0
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties—0
A dual framework for low-rank tensor completion—0
Affinity guided Geometric Semi-Supervised Metric Learning—0
A Manifold Approach to Learning Mutually Orthogonal Subspaces—0
Approximate Birkhoff-von-Neumann decomposition: a differentiable approach—0
Understanding Riemannian Acceleration via a Proximal Extragradient Framework—0
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