Barycenter Estimation of Positive Semi-Definite Matrices with Bures-Wasserstein Distance
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Jingyi, Huang, Huajun, Yi, Yuyan, Li, Yuexin, Lin, Shu-Chin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bures Geodesics and Restricted Barycenters for Kronecker Positive Definite Matrices
by: Yang, Jiaping, et al.
Published: (2026)
by: Yang, Jiaping, et al.
Published: (2026)
K-Tensors: Clustering Positive Semi-Definite Matrices
by: Zhang, Hanchao, et al.
Published: (2023)
by: Zhang, Hanchao, et al.
Published: (2023)
Wasserstein F-tests for Fréchet regression on Bures-Wasserstein manifolds
by: Xu, Haoshu, et al.
Published: (2024)
by: Xu, Haoshu, et al.
Published: (2024)
Bures-Wasserstein Importance-Weighted Evidence Lower Bound: Exposition and Applications
by: Jiang, Peiwen, et al.
Published: (2026)
by: Jiang, Peiwen, et al.
Published: (2026)
A Sparse Linear Model for Positive Definite Estimation of Covariance Matrices
by: Kim, Rakheon, et al.
Published: (2025)
by: Kim, Rakheon, et al.
Published: (2025)
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
by: de Surrel, Thibault, et al.
Published: (2025)
by: de Surrel, Thibault, et al.
Published: (2025)
Large Deviations Principle for Bures-Wasserstein Barycenters
by: Jaffe, Adam Quinn, et al.
Published: (2024)
by: Jaffe, Adam Quinn, et al.
Published: (2024)
Statistical Inference for Bures-Wasserstein Flows
by: Santoro, Leonardo V., et al.
Published: (2023)
by: Santoro, Leonardo V., et al.
Published: (2023)
Wasserstein Distributionally Robust Rare-Event Simulation
by: Ahn, Dohyun, et al.
Published: (2026)
by: Ahn, Dohyun, et al.
Published: (2026)
Covariance Matrix Estimation for High-Dimensional Interval-Valued Data with Positive Definiteness
by: Tian, Wan, et al.
Published: (2026)
by: Tian, Wan, et al.
Published: (2026)
Improving Treatment Effect Estimation in Trials through Adaptive Borrowing of External Controls
by: Yang, Qinwei, et al.
Published: (2026)
by: Yang, Qinwei, et al.
Published: (2026)
Robust Representation and Estimation of Barycenters and Modes of Probability Measures on Metric Spaces
by: Mio, Washington, et al.
Published: (2025)
by: Mio, Washington, et al.
Published: (2025)
Shift-Dispersion Decompositions of Wasserstein and Cramér Distances
by: Resin, Johannes, et al.
Published: (2024)
by: Resin, Johannes, et al.
Published: (2024)
HiMAP: Hilbert Mass-Aligned Parameterization for Multivariate Barycenters and Frećhet Regression
by: Wang, Tao, et al.
Published: (2026)
by: Wang, Tao, et al.
Published: (2026)
Parsimonious Clustering of Covariance Matrices
by: Xu, Yixi, et al.
Published: (2025)
by: Xu, Yixi, et al.
Published: (2025)
Centered plug-in estimation of Wasserstein distances
by: Papp, Tamás P., et al.
Published: (2022)
by: Papp, Tamás P., et al.
Published: (2022)
Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows
by: Gu, Hyemin, et al.
Published: (2024)
by: Gu, Hyemin, et al.
Published: (2024)
MCMC using $\textit{bouncy}$ Hamiltonian dynamics: A unifying framework for Hamiltonian Monte Carlo and piecewise deterministic Markov process samplers
by: Chin, Andrew, et al.
Published: (2024)
by: Chin, Andrew, et al.
Published: (2024)
Smoothing Out Sticking Points: Sampling from Discrete-Continuous Mixtures with Dynamical Monte Carlo by Mapping Discrete Mass into a Latent Universe
by: Chin, Andrew, et al.
Published: (2025)
by: Chin, Andrew, et al.
Published: (2025)
Network Learning with Semi-relaxed Gromov-Wasserstein
by: Dufour, Charles, et al.
Published: (2026)
by: Dufour, Charles, et al.
Published: (2026)
On the Wasserstein median of probability measures
by: You, Kisung, et al.
Published: (2022)
by: You, Kisung, et al.
Published: (2022)
Neural Wasserstein Two-Sample Tests
by: Hu, Xiaoyu, et al.
Published: (2026)
by: Hu, Xiaoyu, et al.
Published: (2026)
Definition, Identification, and Estimation of the Direct and Indirect Number Needed to Treat
by: Vancak, Valentin, et al.
Published: (2025)
by: Vancak, Valentin, et al.
Published: (2025)
Wasserstein Regression with Empirical Measures and Density Estimation for Sparse Data
by: Zhou, Yidong, et al.
Published: (2023)
by: Zhou, Yidong, et al.
Published: (2023)
Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls
by: Yang, Qinwei, et al.
Published: (2025)
by: Yang, Qinwei, et al.
Published: (2025)
Bayesian optimal experimental design with Wasserstein information criteria
by: Helin, Tapio, et al.
Published: (2025)
by: Helin, Tapio, et al.
Published: (2025)
Robust Bayesian methods using amortized simulation-based inference
by: Yuyan, Wang, et al.
Published: (2025)
by: Yuyan, Wang, et al.
Published: (2025)
Spectral Collapsed Gibbs Sampler for Bayesian Sparse Regression
by: Chin, Andrew, et al.
Published: (2026)
by: Chin, Andrew, et al.
Published: (2026)
Detecting Structural Shifts and Estimating Change-Points in Interval-Based Time Series
by: Sun, Li-Hsien, et al.
Published: (2024)
by: Sun, Li-Hsien, et al.
Published: (2024)
Estimating Precision Matrices for High-Dimensional Interval-Valued Data
by: Qin, Zhongfeng, et al.
Published: (2026)
by: Qin, Zhongfeng, et al.
Published: (2026)
Optimal Integrative Estimation for Distributed Precision Matrices with Heterogeneity Adjustment
by: Sun, Yinrui, et al.
Published: (2024)
by: Sun, Yinrui, et al.
Published: (2024)
Approximate Bayesian Computation with Statistical Distances for Model Selection
by: Grazian, Clara
Published: (2024)
by: Grazian, Clara
Published: (2024)
Error-Controlled Borrowing from External Data Using Wasserstein Ambiguity Sets
by: Kimura, Yui, et al.
Published: (2026)
by: Kimura, Yui, et al.
Published: (2026)
Wasserstein Gradient Flows for Batch Bayesian Optimal Experimental Design
by: Sharrock, Louis
Published: (2026)
by: Sharrock, Louis
Published: (2026)
An Agglomerative Clustering of Simulation Output Distributions Using Regularized Wasserstein Distance
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2024)
by: Ghasemloo, Mohammadmahdi, et al.
Published: (2024)
Extrapolating into the Extremes with Minimum Distance Estimation
by: Boulin, Alexis, et al.
Published: (2025)
by: Boulin, Alexis, et al.
Published: (2025)
Semi-Implicit Approaches for Large-Scale Bayesian Spatial Interpolation
by: Garneau, Sébastien, et al.
Published: (2025)
by: Garneau, Sébastien, et al.
Published: (2025)
Bayesian Wasserstein Repulsive Gaussian Mixture Models
by: Huang, Weipeng, et al.
Published: (2025)
by: Huang, Weipeng, et al.
Published: (2025)
Nonparametric Estimation of Large Spot Volatility Matrices for High-Frequency Financial Data
by: Bu, Ruijun, et al.
Published: (2023)
by: Bu, Ruijun, et al.
Published: (2023)
Scale-Invariant Robust Estimation of High-Dimensional Kronecker-Structured Matrices
by: Zhang, Xiaoyu, et al.
Published: (2025)
by: Zhang, Xiaoyu, et al.
Published: (2025)
Similar Items
-
Bures Geodesics and Restricted Barycenters for Kronecker Positive Definite Matrices
by: Yang, Jiaping, et al.
Published: (2026) -
K-Tensors: Clustering Positive Semi-Definite Matrices
by: Zhang, Hanchao, et al.
Published: (2023) -
Wasserstein F-tests for Fréchet regression on Bures-Wasserstein manifolds
by: Xu, Haoshu, et al.
Published: (2024) -
Bures-Wasserstein Importance-Weighted Evidence Lower Bound: Exposition and Applications
by: Jiang, Peiwen, et al.
Published: (2026) -
A Sparse Linear Model for Positive Definite Estimation of Covariance Matrices
by: Kim, Rakheon, et al.
Published: (2025)