riemannian optimization

A Unified Framework for Structured Low-rank Matrix Learning ICML 2018 Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation NeurIPS 2018 Inexact trust-region algorithms on Riemannian manifolds NeurIPS 2018 Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering ICML 2018 Non-Linear Temporal Subspace Representations for Activity Recognition CVPR 2018 On Truly Block Eigensolvers via Riemannian Optimization AISTATS 2018 Collaborative Rating Allocation IJCAI 2017 Generalized Rank Pooling for Activity Recognition CVPR 2017 Learning an Invariant Hilbert Space for Domain Adaptation CVPR 2017 Poincaré Embeddings for Learning Hierarchical Representations NeurIPS 2017 Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017 Tensor Completion with Side Information: A Riemannian Manifold Approach IJCAI 2017 Low-rank tensor completion: a Riemannian manifold preconditioning approach ICML 2016 Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization ICML 2016 Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization CVPR 2016 Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation JMLR 2016 A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm CVPR 2015 Matrix Manifold Optimization for Gaussian Mixtures NeurIPS 2015 Manopt, a Matlab Toolbox for Optimization on Manifolds JMLR 2014 Riemannian Pursuit for Big Matrix Recovery ICML 2014 Geometric optimisation on positive definite matrices for elliptically contoured distributions NeurIPS 2013 Riemannian Similarity Learning ICML 2013 Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach JMLR 2011 RTRMC: A Riemannian trust-region method for low-rank matrix completion NeurIPS 2011