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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

Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent NIPS 2021
Communication-Efficient Distributed PCA by Riemannian Optimization ICML 2020
Tensor Train Decomposition on TensorFlow (T3F) JMLR 2020
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace UAI 2020
A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization AISTATS 2020
Projection Robust Wasserstein Distance and Riemannian Optimization NIPS 2020
Learning to Optimize on SPD Manifolds CVPR 2020
Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping JMLR 2020
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution NIPS 2019
GODS: Generalized One-Class Discriminative Subspaces for Anomaly Detection ICCV 2019
Spherical Text Embedding NIPS 2019
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds AISTATS 2019
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning NIPS 2019
An Estimate Sequence for Geodesically Convex Optimization COLT 2018
A Dual Framework for Low-rank Tensor Completion NIPS 2018
Non-Linear Temporal Subspace Representations for Activity Recognition CVPR 2018
Inexact trust-region algorithms on Riemannian manifolds NIPS 2018
Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation NIPS 2018
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering ICML 2018
A Unified Framework for Structured Low-rank Matrix Learning ICML 2018
On Truly Block Eigensolvers via Riemannian Optimization AISTATS 2018
Tensor Completion with Side Information: A Riemannian Manifold Approach IJCAI 2017
Poincaré Embeddings for Learning Hierarchical Representations NIPS 2017
Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017
Learning an Invariant Hilbert Space for Domain Adaptation CVPR 2017