On Riemannian Optimization over Positive Definite Matrices with the
Bures-Wasserstein Geometry

On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry

1 June 2021

Pratik Jawanpuria

Junbin Gao

Papers citing "On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry"

10 / 10 papers shown

Title
Spectral-factorized Positive-definite Curvature Learning for NN Training Wu Lin Felix Dangel Runa Eschenhagen Juhan Bae Richard E. Turner Roger B. Grosse 47 0 0 10 Feb 2025
On Barycenter Computation: Semi-Unbalanced Optimal Transport-based Method on Gaussians Ngoc-Hai Nguyen Dung D. Le Hoang Nguyen Tung Pham Nhat Ho OT 42 1 0 10 Oct 2024
The Fisher-Rao geometry of CES distributions Florent Bouchard A. Breloy Antoine Collas Alexandre Renaux G. Ginolhac 24 5 0 02 Oct 2023
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies Hanna Ziesche Leonel Rozo 26 5 0 17 May 2023
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space Michael Diao Krishnakumar Balasubramanian Sinho Chewi Adil Salim BDL 32 21 0 10 Apr 2023
Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization Yian Deng Tingting Mu 21 1 0 22 Feb 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 28 6 0 16 Feb 2023
Riemannian Optimization for Variance Estimation in Linear Mixed Models L. Sembach J. P. Burgard Volker Schulz 4 0 0 18 Dec 2022
Manifold Gaussian Variational Bayes on the Precision Matrix M. Magris M. Shabani Alexandros Iosifidis 37 2 0 26 Oct 2022
Riemannian Hamiltonian methods for min-max optimization on manifolds Andi Han Bamdev Mishra Pratik Jawanpuria Pawan Kumar Junbin Gao 38 17 0 25 Apr 2022