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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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TitleStatusHype
Poincaré Embeddings for Learning Hierarchical RepresentationsCode1
Tensor-Train Density EstimationCode1
Averaging Stochastic Gradient Descent on Riemannian Manifolds—0
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints—0
A Manifold Approach to Learning Mutually Orthogonal Subspaces—0
Automatic differentiation for Riemannian optimization on low-rank matrix and tensor-train manifolds—0
Affinity guided Geometric Semi-Supervised Metric Learning—0
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties—0
Differentially private Riemannian optimization—0
A dual framework for low-rank tensor completion—0
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