manifold optimization

Full-Capacity Unitary Recurrent Neural Networks NeurIPS 2016 Low-rank tensor completion: a Riemannian manifold preconditioning approach ICML 2016 Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization ICML 2016 Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation JMLR 2016 Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds NeurIPS 2016 A Metric Parametrization for Trifocal Tensors With Non-Colinear Pinholes CVPR 2015 Clique-Graph Matching by Preserving Global & Local Structure CVPR 2015 Complete Dictionary Recovery Using Nonconvex Optimization ICML 2015 Matrix Manifold Optimization for Gaussian Mixtures NeurIPS 2015 Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts ICCV 2015 Manopt, a Matlab Toolbox for Optimization on Manifolds JMLR 2014 Geometric optimisation on positive definite matrices for elliptically contoured distributions NeurIPS 2013 Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012 Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds NeurIPS 2011 RTRMC: A Riemannian trust-region method for low-rank matrix completion NeurIPS 2011 Matrix Completion from Noisy Entries JMLR 2010 Online Learning in The Manifold of Low-Rank Matrices NeurIPS 2010 Matrix Completion from Noisy Entries NeurIPS 2009 Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial JMLR 2005