Geometric medians on product manifolds
Fuente:
arXiv
Saved in:
| Main Authors: | Park, Jiewon, You, Kisung |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scale selection for geometric medians on product manifolds
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
On the Wasserstein median of probability measures
by: You, Kisung, et al.
Published: (2022)
by: You, Kisung, et al.
Published: (2022)
Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
Finite Mixture Modeling with Riemannian Gaussian Distributions on Hyperbolic Space
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
On Heterogeneity in Wasserstein Space
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
Scale-Calibrated Median-of-Means for Robust Distributed Principal Component Analysis
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
PCA, SVD, and Centering of Data
by: Kim, Donggun, et al.
Published: (2023)
by: Kim, Donggun, et al.
Published: (2023)
Quotient-Based Posterior Analysis for Euclidean Latent Space Models
by: You, Kisung, et al.
Published: (2026)
by: You, Kisung, et al.
Published: (2026)
Learning over von Mises-Fisher Distributions via a Wasserstein-like Geometry
by: You, Kisung, et al.
Published: (2025)
by: You, Kisung, et al.
Published: (2025)
On the spherical Laplace distribution
by: You, Kisung, et al.
Published: (2022)
by: You, Kisung, et al.
Published: (2022)
Rigidity of the gradient estimate for Einstein manifolds
by: Lee, Sanghoon, et al.
Published: (2025)
by: Lee, Sanghoon, et al.
Published: (2025)
Meta-analysis of median survival times with inverse-variance weighting
by: McGrath, Sean, et al.
Published: (2025)
by: McGrath, Sean, et al.
Published: (2025)
Sparse $K$-spatial-median clustering for high-dimensional data
by: Zhao, Ping, et al.
Published: (2026)
by: Zhao, Ping, et al.
Published: (2026)
Absolute average and median treatment effects as causal estimands on metric spaces
by: Shin, Ha-Young, et al.
Published: (2024)
by: Shin, Ha-Young, et al.
Published: (2024)
Robust Narrowest Significance Pursuit: Inference for multiple change-points in the median
by: Fryzlewicz, Piotr
Published: (2021)
by: Fryzlewicz, Piotr
Published: (2021)
metamedian: An R package for meta-analyzing studies reporting medians
by: McGrath, Sean, et al.
Published: (2023)
by: McGrath, Sean, et al.
Published: (2023)
Flexible control of the median of the false discovery proportion
by: Hemerik, Jesse, et al.
Published: (2022)
by: Hemerik, Jesse, et al.
Published: (2022)
Explainable AI for survival analysis: a median-SHAP approach
by: Ter-Minassian, Lucile, et al.
Published: (2024)
by: Ter-Minassian, Lucile, et al.
Published: (2024)
Nonparametric methods controlling the median of the false discovery proportion
by: Hemerik, Jesse
Published: (2025)
by: Hemerik, Jesse
Published: (2025)
Monotonicity formulas and Hessian of the Green function
by: Park, Jiewon
Published: (2024)
by: Park, Jiewon
Published: (2024)
Consistent response prediction for multilayer networks on unknown manifolds
by: Acharyya, Aranyak, et al.
Published: (2024)
by: Acharyya, Aranyak, et al.
Published: (2024)
Principal Sub-manifolds
by: Yao, Zhigang, et al.
Published: (2016)
by: Yao, Zhigang, et al.
Published: (2016)
Differentially private projection-depth-based medians
by: Ramsay, Kelly, et al.
Published: (2023)
by: Ramsay, Kelly, et al.
Published: (2023)
Scalable Geometric Learning with Correlation-Based Functional Brain Networks
by: You, Kisung, et al.
Published: (2025)
by: You, Kisung, et al.
Published: (2025)
Climate change analysis from LRD manifold functional regression
by: Ovalle-Muñoz, Diana P., et al.
Published: (2024)
by: Ovalle-Muñoz, Diana P., et al.
Published: (2024)
Analysing Extreme Rainfall via a Geometric Framework
by: Campbell, Ryan, et al.
Published: (2026)
by: Campbell, Ryan, et al.
Published: (2026)
Geometric standardized mean difference and its application to meta-analysis
by: Shi, Jiandong, et al.
Published: (2025)
by: Shi, Jiandong, et al.
Published: (2025)
Neural Networks for Parameter Estimation in Geometrically Anisotropic Geostatistical Models
by: Villazón, Alejandro, et al.
Published: (2024)
by: Villazón, Alejandro, et al.
Published: (2024)
Switchback Experiments under Geometric Mixing
by: Hu, Yuchen, et al.
Published: (2022)
by: Hu, Yuchen, et al.
Published: (2022)
Topo-Geometric Analysis of Variability in Point Clouds using Persistence Landscapes
by: Matuk, James, et al.
Published: (2021)
by: Matuk, James, et al.
Published: (2021)
Geometric criteria for identifying extremal dependence and flexible modeling via additive mixtures
by: Lee, Jeongjin, et al.
Published: (2025)
by: Lee, Jeongjin, et al.
Published: (2025)
Large-scale Data Integration using Matrix Denoising and Geometric Factor Matching
by: Held, Felix
Published: (2024)
by: Held, Felix
Published: (2024)
Quantitative Rigidity Using Colding's Monotonicity Formulas for Ricci Curvature
by: Breiner, Christine, et al.
Published: (2025)
by: Breiner, Christine, et al.
Published: (2025)
Bayesian Inference of Geometric Brownian Motion: An Extension with Jumps
by: Yan, Yifei, et al.
Published: (2025)
by: Yan, Yifei, et al.
Published: (2025)
Newton's Algorithm as a Gradient Flow: A Geometric Framework for Recursive Mixture Estimation
by: Flores, Bernardo
Published: (2026)
by: Flores, Bernardo
Published: (2026)
A Semi-Parametric Torus-to-Torus Regression Model with Geometric Loss: Application to Cyclone Data
by: Biswas, Surojit, et al.
Published: (2025)
by: Biswas, Surojit, et al.
Published: (2025)
Enhancing the Tensor Normal via Geometrically Parameterized Cholesky Factors
by: Simonis, Quinn, et al.
Published: (2025)
by: Simonis, Quinn, et al.
Published: (2025)
Differentially private inference framework of Riemannian manifold data
by: Jiang, Yangdi, et al.
Published: (2026)
by: Jiang, Yangdi, et al.
Published: (2026)
Bayesian estimation of covariate assisted principal regression for brain functional connectivity
by: Park, Hyung G.
Published: (2023)
by: Park, Hyung G.
Published: (2023)
From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data
by: Proksch, Katharina, et al.
Published: (2022)
by: Proksch, Katharina, et al.
Published: (2022)
Similar Items
-
Scale selection for geometric medians on product manifolds
by: You, Kisung
Published: (2026) -
On the Wasserstein median of probability measures
by: You, Kisung, et al.
Published: (2022) -
Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy
by: You, Kisung
Published: (2026) -
Finite Mixture Modeling with Riemannian Gaussian Distributions on Hyperbolic Space
by: You, Kisung
Published: (2026) -
On Heterogeneity in Wasserstein Space
by: You, Kisung
Published: (2026)