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Riemannian optimization

Optimization methods on Riemannian manifolds.

Papers

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Showing 41–50 of 153 papers

TitleStatusHype
A Riemannian Optimization Perspective of the Gauss-Newton Method for Feedforward Neural Networks—0
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization—0
Generalized Rank Pooling for Activity Recognition—0
Convergence results for projected line-search methods on varieties of low-rank matrices via Łojasiewicz inequality—0
Geometric optimisation on positive definite matrices for elliptically contoured distributions—0
Geometry Aware Constrained Optimization Techniques for Deep Learning—0
Higher Order Reduced Rank Regression—0
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization—0
Faster Randomized Methods for Orthogonality Constrained Problems—0
Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning—0
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