:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tang, Runshi, Zheng, Runbing, Zhang, Anru R., Priebe, Carey E.
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2509.05221
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamic networks clustering via mirror distance
by: Zheng, Runbing, et al.
Published: (2024)

Testing common invariant subspace of multilayer networks
by: Yuan, Mingao, et al.
Published: (2024)

Detection and estimation of vertex-wise latent position shifts across networks
by: Zheng, Runbing
Published: (2025)

Tensor Decomposition with Unaligned Observations
by: Tang, Runshi, et al.
Published: (2024)

Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
by: Tang, Runshi, et al.
Published: (2023)

Consistent response prediction for multilayer networks on unknown manifolds
by: Acharyya, Aranyak, et al.
Published: (2024)

Limit results for distributed estimation of invariant subspaces in multiple networks inference and PCA
by: Zheng, Runbing, et al.
Published: (2022)

Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence
by: Tang, Runshi, et al.
Published: (2025)

Optimal Estimation of Discrete Multiview Distributions under Heteroskedastic Multinomial Sampling
by: Tang, Runshi, et al.
Published: (2026)

Chain-linked multiple matrix integration via embedding alignment
by: Zheng, Runbing, et al.
Published: (2024)

Euclidean mirrors and dynamics in network time series
by: Athreya, Avanti, et al.
Published: (2022)

When prompt perturbations break your A/B test: A valid statistical test for generative surveying
by: Helm, Hayden, et al.
Published: (2026)

Convergence guarantees for response prediction for latent structure network time series
by: Acharyya, Aranyak, et al.
Published: (2025)

Query-efficient model evaluation using cached responses
by: Helm, Hayden, et al.
Published: (2026)

Occam Factor for Random Graphs: Erdös-Rényi, Independent Edge, and Rank-1 Stochastic Blockmodel
by: Wang, Tianyu, et al.
Published: (2023)

Subgroup learning in functional regression models under the RKHS framework
by: Guan, Xin, et al.
Published: (2025)

Network Dependence Testing via Diffusion Maps and Distance-Based Correlations
by: Lee, Youjin, et al.
Published: (2017)

Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations
by: Acharyya, Aranyak, et al.
Published: (2025)

Comparing Foundation Models using Data Kernels
by: Duderstadt, Brandon, et al.
Published: (2023)

Correcting a Nonparametric Two-sample Graph Hypothesis Test for Graphs with Different Numbers of Vertices with Applications to Connectomics
by: Alyakin, Anton A., et al.
Published: (2020)

Random line graphs and edge-attributed network inference
by: Lubberts, Zachary, et al.
Published: (2021)

Methods to Calculate the Upper Bound of Gini Coefficient Based on Grouped Data and the Result for China
by: Shi, Pixu, et al.
Published: (2013)

Discovering the Signal Subgraph: An Iterative Screening Approach on Graphs
by: Shen, Cencheng, et al.
Published: (2018)

Euclidean mirrors and first-order changepoints in network time series
by: Chen, Tianyi, et al.
Published: (2024)

Synthetic Augmentation in Imbalanced Learning: When It Helps, When It Hurts, and How Much to Add
by: Ma, Zhengchi, et al.
Published: (2026)

Taming Variability: Randomized and Bootstrapped Conformal Risk Control for LLMs
by: Pang, Lingyou, et al.
Published: (2025)

Valid Two-Sample Graph Testing via Optimal Transport Procrustes and Multiscale Graph Correlation with Applications in Connectomics
by: Chung, Jaewon, et al.
Published: (2019)

Functional Tensor Regression
by: Li, Tongyu, et al.
Published: (2025)

Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications
by: Agterberg, Joshua, et al.
Published: (2024)

LLM Web Dynamics: Tracing Model Collapse in a Network of LLMs
by: Wang, Tianyu, et al.
Published: (2025)

Multi-Rank Subspace Change-Point Detection for Monitoring Robotic Swarms
by: Lee, Jonghyeok, et al.
Published: (2025)

Subtype-Aware Registration of Longitudinal Electronic Health Records
by: Gai, Xin, et al.
Published: (2025)

Blessing of dimension in Bayesian inference on covariance matrices
by: Chattopadhyay, Shounak, et al.
Published: (2024)

Partially exchangeable stochastic block models for (node-colored) multilayer networks
by: Durante, Daniele, et al.
Published: (2024)

Testing for a common subspace in compositional datasets with structural zeros
by: Porro, Francesco, et al.
Published: (2025)

Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data
by: Zhang, Anru, et al.
Published: (2018)

Functional Post-Clustering Selective Inference with Applications to EHR Data Analysis
by: Zhu, Zihan, et al.
Published: (2024)

Statistical Inference for Fuzzy Clustering
by: Wu, Qiuyi, et al.
Published: (2026)

Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings
by: Pantazis, Konstantinos, et al.
Published: (2024)

Gotta match 'em all: Solution diversification in graph matching matched filters
by: Li, Zhirui, et al.
Published: (2023)