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riemannian optimization

89 papers

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Co-occurring keywords

manifold optimization (67) stiefel manifold (29) gradient descent (1143) matrix completion (356) riemannian manifold (169) geodesic convexity (19) non-convex optimization (546) matrix factorization (529) stochastic gradient (296) optimal transport (945)

Papers

Efficient Riemannian Meta-Optimization by Implicit Differentiation AAAI 2022
Global Riemannian Acceleration in Hyperbolic and Spherical Spaces ALT 2022
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis ICML 2022
Provable Tensor-Train Format Tensor Completion by Riemannian Optimization JMLR 2022
Projective Manifold Gradient Layer for Deep Rotation Regression CVPR 2022
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training AAAI 2022
Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always IJCAI 2022
The Dynamics of Riemannian Robbins-Monro Algorithms COLT 2022
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs AAAI 2022
Understanding Riemannian Acceleration via a Proximal Extragradient Framework COLT 2022
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold JMLR 2022
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold AAAI 2022
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis NIPS 2021
Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization IJCAI 2021
Projection Robust Wasserstein Barycenters ICML 2021
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance ICML 2021
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach ICML 2021
A No-go Theorem for Robust Acceleration in the Hyperbolic Plane NIPS 2021
Tensor-train density estimation UAI 2021
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size AISTATS 2021
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms AISTATS 2021
On the Riemannian Search for Eigenvector Computation JMLR 2021
Decentralized Riemannian Gradient Descent on the Stiefel Manifold ICML 2021
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry NIPS 2021
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces AAAI 2021