Scale-Calibrated Median-of-Means for Robust Distributed Principal Component Analysis
Fuente:
arXiv
Saved in:
| Main Author: | You, Kisung |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
PCA, SVD, and Centering of Data
by: Kim, Donggun, et al.
Published: (2023)
by: Kim, Donggun, et al.
Published: (2023)
Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
Casewise and Cellwise Robust Multilinear Principal Component Analysis
by: Hirari, Mehdi, et al.
Published: (2025)
by: Hirari, Mehdi, et al.
Published: (2025)
Dirichlet Process-based Robust Clustering using the Median-of-Means Estimator
by: Basu, Supratik, et al.
Published: (2023)
by: Basu, Supratik, et al.
Published: (2023)
Sequential Gibbs Posteriors with Applications to Principal Component Analysis
by: Winter, Steven, et al.
Published: (2023)
by: Winter, Steven, et al.
Published: (2023)
On the Wasserstein Geodesic Principal Component Analysis of probability measures
by: Vesseron, Nina, et al.
Published: (2025)
by: Vesseron, Nina, et al.
Published: (2025)
Convex Clustering Redefined: Robust Learning with the Median of Means Estimator
by: De, Sourav, et al.
Published: (2025)
by: De, Sourav, et al.
Published: (2025)
Online Functional Principal Component Analysis on a Multidimensional Domain
by: Nanshan, Muye, et al.
Published: (2025)
by: Nanshan, Muye, et al.
Published: (2025)
Principal Component Analysis When n < p: Challenges and Solutions
by: Weeraratne, Nuwan, et al.
Published: (2025)
by: Weeraratne, Nuwan, et al.
Published: (2025)
Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
by: Zhang, Xinyu, et al.
Published: (2026)
by: Zhang, Xinyu, et al.
Published: (2026)
Median of Means Sampling for the Keister Function
by: Zhang, Bocheng
Published: (2025)
by: Zhang, Bocheng
Published: (2025)
Robust Variational Bayes by Min-Max Median Aggregation
by: Yan, Jiawei, et al.
Published: (2025)
by: Yan, Jiawei, et al.
Published: (2025)
Finite Mixture Modeling with Riemannian Gaussian Distributions on Hyperbolic Space
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
Distributional Principal Autoencoders
by: Shen, Xinwei, et al.
Published: (2024)
by: Shen, Xinwei, et al.
Published: (2024)
Nonlinear Principal Component Analysis with Random Bernoulli Features for Process Monitoring
by: Chen, Ke, et al.
Published: (2025)
by: Chen, Ke, et al.
Published: (2025)
Scale selection for geometric medians on product manifolds
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
Adaptive Principal Component Regression with Applications to Panel Data
by: Agarwal, Anish, et al.
Published: (2023)
by: Agarwal, Anish, et al.
Published: (2023)
Soft Mean Expected Calibration Error (SMECE): A Calibration Metric for Probabilistic Labels
by: Leznik, Michael
Published: (2026)
by: Leznik, Michael
Published: (2026)
Localized Sparse Principal Component Analysis of Multivariate Time Series in Frequency Domain
by: Namdari, Jamshid, et al.
Published: (2024)
by: Namdari, Jamshid, et al.
Published: (2024)
On Heterogeneity in Wasserstein Space
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
Constant Metric Scaling in Riemannian Computation
by: You, Kisung
Published: (2026)
by: You, Kisung
Published: (2026)
MCMC with Adaptive Principal-Component Transformation: Rotation-Invariant Universal Samplers for Bayesian Structural System Identification
by: Meng, Xianghao, et al.
Published: (2026)
by: Meng, Xianghao, et al.
Published: (2026)
Joint Linked Component Analysis for Multiview Data
by: Xiao, Lin, et al.
Published: (2024)
by: Xiao, Lin, et al.
Published: (2024)
Conformalized Robust Principal Component Analysis
by: Yuan, Liangliang, et al.
Published: (2026)
by: Yuan, Liangliang, et al.
Published: (2026)
Gradient Boosted Mixed Models: Flexible Joint Estimation of Mean and Variance Components for Clustered Data
by: Prevett, Mitchell L., et al.
Published: (2025)
by: Prevett, Mitchell L., et al.
Published: (2025)
Multi-Distribution Robust Conformal Prediction
by: Yang, Yuqi, et al.
Published: (2026)
by: Yang, Yuqi, et al.
Published: (2026)
Flow-based Distributionally Robust Optimization
by: Xu, Chen, et al.
Published: (2023)
by: Xu, Chen, et al.
Published: (2023)
Additive Distributionally Robust Ranking and Selection
by: Li, Zaile, et al.
Published: (2025)
by: Li, Zaile, et al.
Published: (2025)
Knowledge-Guided Wasserstein Distributionally Robust Optimization
by: Wang, Zitao, et al.
Published: (2025)
by: Wang, Zitao, et al.
Published: (2025)
Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling
by: Li, Yufan, et al.
Published: (2025)
by: Li, Yufan, et al.
Published: (2025)
Conditional Distribution Compression via the Kernel Conditional Mean Embedding
by: Broadbent, Dominic, et al.
Published: (2025)
by: Broadbent, Dominic, et al.
Published: (2025)
Distribution-Free Robust Predict-Then-Optimize in Function Spaces
by: Patel, Yash, et al.
Published: (2026)
by: Patel, Yash, et al.
Published: (2026)
Robust Bayesian Functional Principal Component Analysis
by: Zhang, Jiarui, et al.
Published: (2023)
by: Zhang, Jiarui, et al.
Published: (2023)
Spectrum-Aware Debiasing: A Modern Inference Framework with Applications to Principal Components Regression
by: Li, Yufan, et al.
Published: (2023)
by: Li, Yufan, et al.
Published: (2023)
Robust Validation: Confident Predictions Even When Distributions Shift
by: Cauchois, Maxime, et al.
Published: (2020)
by: Cauchois, Maxime, et al.
Published: (2020)
Distributionally Robust Learning for Multi-source Unsupervised Domain Adaptation
by: Wang, Zhenyu, et al.
Published: (2023)
by: Wang, Zhenyu, et al.
Published: (2023)
Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
by: Wilkins-Reeves, Steven, et al.
Published: (2024)
by: Wilkins-Reeves, Steven, et al.
Published: (2024)
Geometric medians on product manifolds
by: Park, Jiewon, et al.
Published: (2025)
by: Park, Jiewon, et al.
Published: (2025)
Similar Items
-
Quotient-Based Posterior Analysis for Euclidean Latent Space Models
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) -
PCA, SVD, and Centering of Data
by: Kim, Donggun, et al.
Published: (2023) -
Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy
by: You, Kisung
Published: (2026) -
Casewise and Cellwise Robust Multilinear Principal Component Analysis
by: Hirari, Mehdi, et al.
Published: (2025)