Covariates-Adjusted Mixed-Membership Estimation: A Novel Network Model with Optimal Guarantees
Fuente:
arXiv
Saved in:
| Main Authors: | Fan, Jianqing, Ge, Jiawei, Hou, Jikai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncertainty Quantification of MLE for Entity Ranking with Covariates
by: Fan, Jianqing, et al.
Published: (2022)
by: Fan, Jianqing, et al.
Published: (2022)
Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
by: Fan, Jianqing, et al.
Published: (2024)
by: Fan, Jianqing, et al.
Published: (2024)
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024)
by: Ge, Jiawei, et al.
Published: (2024)
Optimal Estimation of Parameters in Degree Corrected Mixed Membership Models
by: Jiang, Stephen, et al.
Published: (2024)
by: Jiang, Stephen, et al.
Published: (2024)
Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel
by: Chai, Jinhang, et al.
Published: (2024)
by: Chai, Jinhang, et al.
Published: (2024)
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
by: Jin, Jikai, et al.
Published: (2024)
by: Jin, Jikai, et al.
Published: (2024)
Factor Adjusted Spectral Clustering for Mixture Models
by: Tang, Shange, et al.
Published: (2024)
by: Tang, Shange, et al.
Published: (2024)
Communication-Efficient Distributed Estimation and Inference for Cox's Model
by: Bayle, Pierre, et al.
Published: (2023)
by: Bayle, Pierre, et al.
Published: (2023)
Optimal Demixing of Nonparametric Densities
by: Fan, Jianqing, et al.
Published: (2026)
by: Fan, Jianqing, et al.
Published: (2026)
Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models
by: Lecoiu, Radu, et al.
Published: (2026)
by: Lecoiu, Radu, et al.
Published: (2026)
On the Nonasymptotic Scaling Guarantee of Hyperparameter Estimation in Inhomogeneous, Weakly-Dependent Complex Network Dynamical Systems
by: Yu, Yi, et al.
Published: (2026)
by: Yu, Yi, et al.
Published: (2026)
Sharp Structure-Agnostic Lower Bounds for General Linear Functional Estimation
by: Jin, Jikai, et al.
Published: (2025)
by: Jin, Jikai, et al.
Published: (2025)
Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices
by: Cai, T. Tony, et al.
Published: (2024)
by: Cai, T. Tony, et al.
Published: (2024)
Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
by: Li, Jingyang, et al.
Published: (2024)
by: Li, Jingyang, et al.
Published: (2024)
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning
by: Li, Gen, et al.
Published: (2023)
by: Li, Gen, et al.
Published: (2023)
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
by: Chen, Minshuo, et al.
Published: (2024)
by: Chen, Minshuo, et al.
Published: (2024)
It's Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
by: Jin, Jikai, et al.
Published: (2025)
by: Jin, Jikai, et al.
Published: (2025)
Robust Transfer Learning with Unreliable Source Data
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Online Covariance Estimation in Averaged SGD: Improved Batch-Mean Rates and Minimax Optimality via Trajectory Regression
by: Ni, Yijin, et al.
Published: (2026)
by: Ni, Yijin, et al.
Published: (2026)
Theoretical Guarantees for the Subspace-Constrained Tyler's Estimator
by: Lerman, Gilad, et al.
Published: (2024)
by: Lerman, Gilad, et al.
Published: (2024)
When can weak latent factors be statistically inferred?
by: Fan, Jianqing, et al.
Published: (2024)
by: Fan, Jianqing, et al.
Published: (2024)
Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices
by: Fan, Jianqing, et al.
Published: (2025)
by: Fan, Jianqing, et al.
Published: (2025)
Inference for Heteroskedastic PCA with Missing Data
by: Yan, Yuling, et al.
Published: (2021)
by: Yan, Yuling, et al.
Published: (2021)
Estimating Higher-Order Mixed Memberships via the $\ell_{2,\infty}$ Tensor Perturbation Bound
by: Agterberg, Joshua, et al.
Published: (2022)
by: Agterberg, Joshua, et al.
Published: (2022)
A Theory of Nonparametric Covariance Function Estimation for Discretely Observed Data
by: Terada, Yoshikazu, et al.
Published: (2026)
by: Terada, Yoshikazu, et al.
Published: (2026)
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
by: Zhou, Julien, et al.
Published: (2024)
by: Zhou, Julien, et al.
Published: (2024)
Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy
by: Cai, T. Tony, et al.
Published: (2026)
by: Cai, T. Tony, et al.
Published: (2026)
Nearly Optimal Robust Covariance and Scatter Matrix Estimation Beyond Gaussians
by: Novikov, Gleb
Published: (2025)
by: Novikov, Gleb
Published: (2025)
Diffusion Models with Heavy-Tailed Targets: Score Estimation and Sampling Guarantees
by: Yu, Yifeng, et al.
Published: (2026)
by: Yu, Yifeng, et al.
Published: (2026)
Generalized Grade-of-Membership Estimation for High-dimensional Locally Dependent Data
by: Chen, Ling, et al.
Published: (2024)
by: Chen, Ling, et al.
Published: (2024)
Isotonic Mechanism for Exponential Family Estimation in Machine Learning Peer Review
by: Yan, Yuling, et al.
Published: (2023)
by: Yan, Yuling, et al.
Published: (2023)
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables
by: Li, Zheng, et al.
Published: (2024)
by: Li, Zheng, et al.
Published: (2024)
Spectral Ranking Inferences based on General Multiway Comparisons
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Statistical Guarantees for Approximate Stationary Points of Shallow Neural Networks
by: Taheri, Mahsa, et al.
Published: (2022)
by: Taheri, Mahsa, et al.
Published: (2022)
Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games
by: Yan, Yuling, et al.
Published: (2022)
by: Yan, Yuling, et al.
Published: (2022)
Strongly Consistent Community Detection in Popularity Adjusted Block Models
by: Yuan, Quan, et al.
Published: (2025)
by: Yuan, Quan, et al.
Published: (2025)
A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates
by: Fan, Qingliang, et al.
Published: (2022)
by: Fan, Qingliang, et al.
Published: (2022)
Minimax-Optimal Spectral Clustering with Covariance Projection for High-Dimensional Anisotropic Mixtures
by: Huang, Chengzhu, et al.
Published: (2025)
by: Huang, Chengzhu, et al.
Published: (2025)
$L^1$ Estimation: On the Optimality of Linear Estimators
by: Barnes, Leighton P., et al.
Published: (2023)
by: Barnes, Leighton P., et al.
Published: (2023)
Similar Items
-
Uncertainty Quantification of MLE for Entity Ranking with Covariates
by: Fan, Jianqing, et al.
Published: (2022) -
Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
by: Fan, Jianqing, et al.
Published: (2024) -
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
by: Fan, Jianqing, et al.
Published: (2023) -
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024) -
Optimal Estimation of Parameters in Degree Corrected Mixed Membership Models
by: Jiang, Stephen, et al.
Published: (2024)