Cover Image

Mixed Membership sub-Gaussian Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Qing, Huan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Individual-heterogeneous sub-Gaussian Mixture Models
by: Qing, Huan
Published: (2026)

Estimating Mixed-Memberships Using the Symmetric Laplacian Inverse Matrix
by: Qing, Huan, et al.
Published: (2020)

Fast estimation of Gaussian mixture components via centering and singular value thresholding
by: Qing, Huan
Published: (2026)

Mixed membership estimation for categorical data with weighted responses
by: Qing, Huan
Published: (2023)

Mixed membership distribution-free model
by: Qing, Huan, et al.
Published: (2021)

Goodness-of-Fit Tests for Latent Class Models with Ordinal Categorical Data
by: Qing, Huan
Published: (2026)

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

Latent class analysis for multi-layer categorical data
by: Qing, Huan
Published: (2024)

AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation
by: Ren, Heqing, et al.
Published: (2025)

Inference and Visualization of Community Structure in Attributed Hypergraphs Using Mixed-Membership Stochastic Block Models
by: Nakajima, Kazuki, et al.
Published: (2024)

Adaptive Mean Estimation in the Hidden Markov sub-Gaussian Mixture Model
by: Karagulyan, Vahe, et al.
Published: (2024)

Membership Inference Attacks on Sequence Models
by: Rossi, Lorenzo, et al.
Published: (2025)

Mixed Likelihood Variational Gaussian Processes
by: Wu, Kaiwen, et al.
Published: (2025)

Optimal Noise Reduction in Dense Mixed-Membership Stochastic Block Models under Diverging Spiked Eigenvalues Condition
by: Noskov, Fedor, et al.
Published: (2023)

How many asymmetric communities are there in multi-layer directed networks?
by: Qing, Huan
Published: (2026)

Community detection by spectral methods in multi-layer networks
by: Qing, Huan
Published: (2024)

Estimating mixed memberships in multi-layer networks
by: Qing, Huan
Published: (2024)

The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches
by: Lev, Omri, et al.
Published: (2025)

Membership and Dataset Inference Attacks on Large Audio Generative Models
by: Proboszcz, Jakub, et al.
Published: (2025)

Semantic Membership Inference Attack against Large Language Models
by: Mozaffari, Hamid, et al.
Published: (2024)

Range Membership Inference Attacks
by: Tao, Jiashu, et al.
Published: (2024)

Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study
by: Aubinais, Eric, et al.
Published: (2025)

Exposing the Vulnerability of Decentralized Learning to Membership Inference Attacks Through the Lens of Graph Mixing
by: Touat, Ousmane, et al.
Published: (2024)

Causal Evaluation of Membership Inference Attacks
by: Even, Mathieu, et al.
Published: (2026)

Local and Mixing-Based Algorithms for Gaussian Graphical Model Selection from Glauber Dynamics
by: Tirukkonda, Vignesh, et al.
Published: (2024)

Bayesian Nonparametric Mixed-Effect ODEs with Gaussian Processes
by: Martinelli, Julien, et al.
Published: (2026)

Membership Inference Attacks on Discrete Diffusion Language Models
by: Kasivelrajan, Shailesh
Published: (2026)

Blackbox Model Provenance via Palimpsestic Membership Inference
by: Kuditipudi, Rohith, et al.
Published: (2025)

Membership Inference Attacks Against Time-Series Models
by: Koren, Noam, et al.
Published: (2024)

Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models
by: Liang, Chumeng, et al.
Published: (2024)

Efficient Graph Condensation via Gaussian Process
by: Wang, Lin, et al.
Published: (2025)

Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models
by: Pu, Mingyu, et al.
Published: (2025)

Intrinsic Gaussian Process Regression Modeling for Manifold-valued Response Variable
by: Wang, Zhanfeng, et al.
Published: (2024)

MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training
by: Li, Jiacheng, et al.
Published: (2023)

Covariate-assisted Grade of Membership Models via Shared Latent Geometry
by: Xu, Zhiyu, et al.
Published: (2026)

Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity
by: Martinez-Taboada, Diego, et al.
Published: (2025)

subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment
by: Oz, Zeyneddin, et al.
Published: (2024)

Auditing Training Data in Generative Music Models via Black-Box Membership Inference
by: Liu, Yi Chen, et al.
Published: (2026)

Membership Inference Attacks on Large-Scale Models: A Survey
by: Wu, Hengyu, et al.
Published: (2025)

Ensembling Membership Inference Attacks Against Tabular Generative Models
by: Ward, Joshua, et al.
Published: (2025)