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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 71–80 of 153 papers

TitleStatusHype
Riemannian stochastic approximation algorithms—0
The Fisher-Rao geometry of CES distributions—0
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference—0
Variance reduction for Riemannian non-convex optimization with batch size adaptation—0
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
Gaussian-Mixture-Model Q-Functions for Reinforcement Learning by Riemannian Optimization—0
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks—0
Generalized Rank Pooling for Activity Recognition—0
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