Copertina

Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Fan, Jianqing, Fan, Yingying, Lv, Jinchi, Yang, Fan, Yu, Diwen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Information Theory Statistics Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient?
di: Fan, Yingying, et al.
Pubblicazione: (2025)

Exogenous Randomness Empowering Random Forests
di: Mei, Tianxing, et al.
Pubblicazione: (2024)

Precise Asymptotics and Refined Regret of Variance-Aware UCB
di: Fan, Yingying, et al.
Pubblicazione: (2024)

ARK: Robust Knockoffs Inference with Coupling
di: Fan, Yingying, et al.
Pubblicazione: (2023)

Spectral Ranking Inferences based on General Multiway Comparisons
di: Fan, Jianqing, et al.
Pubblicazione: (2023)

SOFARI: High-Dimensional Manifold-Based Inference
di: Zheng, Zemin, et al.
Pubblicazione: (2023)

Inference for Heteroskedastic PCA with Missing Data
di: Yan, Yuling, et al.
Pubblicazione: (2021)

Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning
di: Li, Gen, et al.
Pubblicazione: (2023)

Model-Based Reinforcement Learning for Offline Zero-Sum Markov Games
di: Yan, Yuling, et al.
Pubblicazione: (2022)

Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel
di: Chai, Jinhang, et al.
Pubblicazione: (2024)

Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
di: Fan, Jianqing, et al.
Pubblicazione: (2024)

Uncertainty Quantification of MLE for Entity Ranking with Covariates
di: Fan, Jianqing, et al.
Pubblicazione: (2022)

An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization
di: Chen, Minshuo, et al.
Pubblicazione: (2024)

Precise Asymptotics for Spectral Methods in Mixed Generalized Linear Models
di: Zhang, Yihan, et al.
Pubblicazione: (2022)

Covariates-Adjusted Mixed-Membership Estimation: A Novel Network Model with Optimal Guarantees
di: Fan, Jianqing, et al.
Pubblicazione: (2025)

Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models
di: Li, Gen, et al.
Pubblicazione: (2023)

On Universality of Non-Separable Approximate Message Passing Algorithms
di: Lovig, Max, et al.
Pubblicazione: (2025)

Sharp Concentration Inequalities: Phase Transition and Mixing of Orlicz Tails with Variance
di: Shen, Yinan, et al.
Pubblicazione: (2026)

Decision Making in Changing Environments: Robustness, Query-Based Learning, and Differential Privacy
di: Chen, Fan, et al.
Pubblicazione: (2025)

Robust Transfer Learning with Unreliable Source Data
di: Fan, Jianqing, et al.
Pubblicazione: (2023)

Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
di: Li, Jingyang, et al.
Pubblicazione: (2024)

Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
di: Ge, Jiawei, et al.
Pubblicazione: (2024)

UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
di: Fan, Jianqing, et al.
Pubblicazione: (2023)

Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
di: Chen, Fan, et al.
Pubblicazione: (2024)

On Observation Time for Recovering Latent Hawkes Networks
di: Linkerhägner, Jonas, et al.
Pubblicazione: (2026)

When can weak latent factors be statistically inferred?
di: Fan, Jianqing, et al.
Pubblicazione: (2024)

Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices
di: Cai, T. Tony, et al.
Pubblicazione: (2024)

Optimal Demixing of Nonparametric Densities
di: Fan, Jianqing, et al.
Pubblicazione: (2026)

Communication-Efficient Distributed Estimation and Inference for Cox's Model
di: Bayle, Pierre, et al.
Pubblicazione: (2023)

High-Dimensional Asymptotics of Differentially Private PCA
di: Yun, Youngjoo, et al.
Pubblicazione: (2025)

Variational Representations of Annealing Paths: Bregman Information under Monotonic Embedding
di: Brekelmans, Rob, et al.
Pubblicazione: (2022)

Generalization of LiNGAM that allows confounding
di: Suzuki, Joe, et al.
Pubblicazione: (2024)

Fundamental Computational Limits in Pursuing Invariant Causal Prediction and Invariance-Guided Regularization
di: Gu, Yihong, et al.
Pubblicazione: (2025)

Asymptotic mutual information in quadratic estimation problems over compact groups
di: Yang, Kaylee Y., et al.
Pubblicazione: (2024)

Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
di: Kovačević, Filip, et al.
Pubblicazione: (2025)

Learning Spectral Methods by Transformers
di: He, Yihan, et al.
Pubblicazione: (2025)

Precise analysis of ridge interpolators under heavy correlations -- a Random Duality Theory view
di: Stojnic, Mihailo
Pubblicazione: (2024)

Bias-Corrected Joint Spectral Embedding for Multilayer Networks with Invariant Subspace: Entrywise Eigenvector Perturbation and Inference
di: Xie, Fangzheng
Pubblicazione: (2024)

Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
di: Hellström, Fredrik, et al.
Pubblicazione: (2023)

Estimating Graph Dimension with Cross-validated Eigenvalues
di: Chen, Fan, et al.
Pubblicazione: (2021)