Co-occurring keywords · papers mentioning both
Papers
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
ICML 2023
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
ICML 2023
Momentum Improves Optimization on Riemannian Manifolds
AISTATS 2021
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
NeurIPS 2021
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False
ICML 2020
Old Techniques in Differentially Private Linear Regression
ALT 2019
A partial orthogonalization method for simulating covariance and concentration graph matrices
PGM 2018
On Fast Leverage Score Sampling and Optimal Learning
NeurIPS 2018
Gaussian quadrature for matrix inverse forms with applications
ICML 2016
Geometric Mean Metric Learning
ICML 2016
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds
CVPR 2016
Large-scale log-determinant computation through stochastic Chebyshev expansions
ICML 2015
Matrix Manifold Optimization for Gaussian Mixtures
NeurIPS 2015
Geometric optimisation on positive definite matrices for elliptically contoured distributions
NeurIPS 2013
A new metric on the manifold of kernel matrices with application to matrix geometric means
NeurIPS 2012
The em Algorithm for Kernel Matrix Completion with Auxiliary Data
JMLR 2003