matrix manifold

A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty JMLR 2023 Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach ICML 2023 Robust low-rank training via approximate orthonormal constraints NeurIPS 2023 Fast and accurate optimization on the orthogonal manifold without retraction AISTATS 2022 Mode estimation on matrix manifolds: Convergence and robustness AISTATS 2022 The Gyro-Structure of Some Matrix Manifolds NeurIPS 2022 On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry NeurIPS 2021 Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds ACML 2021 Riemannian adaptive stochastic gradient algorithms on matrix manifolds ICML 2019 Trivializations for Gradient-Based Optimization on Manifolds NeurIPS 2019 Matrix Manifold Optimization for Gaussian Mixtures NeurIPS 2015 A new metric on the manifold of kernel matrices with application to matrix geometric means NeurIPS 2012