Imagen de Portada

Bridging Maximum Likelihood and Optimal Transport for Efficient Inference and Model Selection in Stochastic Block Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Queric, Simon, Vincent-Cuaz, Cédric, Bouveyron, Charles, Corneli, Marco
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models
por: Suzuki, Atsushi, et al.
Publicado: (2024)

Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models
por: Zhang, Tianni, et al.
Publicado: (2026)

Spectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block Models
por: Zhang, Ning, et al.
Publicado: (2024)

Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
por: Rioux, Gabriel, et al.
Publicado: (2024)

On Learning-Curve Monotonicity for Maximum Likelihood Estimators
por: Sellke, Mark, et al.
Publicado: (2025)

Estimation of Stochastic Optimal Transport Maps
por: Nietert, Sloan, et al.
Publicado: (2025)

Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model
por: Dumitriu, Ioana, et al.
Publicado: (2023)

Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
por: Aragam, Bryon, et al.
Publicado: (2024)

Normalized Likelihood Criteria for Model Selection in the Stochastic Block Model
por: Cerqueira, Andressa, et al.
Publicado: (2026)

Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
por: Vardanyan, Elen, et al.
Publicado: (2023)

Beyond Maximum Likelihood: Variational Inequality Estimation for Generalized Linear Models
por: Zhu, Linglingzhi, et al.
Publicado: (2025)

Likelihood-Preserving Embeddings for Statistical Inference
por: Akdemir, Deniz
Publicado: (2025)

Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate
por: Genans, Ferdinand, et al.
Publicado: (2025)

Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities
por: Carpentier, Alexandra, et al.
Publicado: (2025)

Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block Model
por: Dumitriu, Ioana, et al.
Publicado: (2021)

Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities (II)
por: Carpentier, Alexandra, et al.
Publicado: (2025)

Likelihood Matching for Diffusion Models
por: Qian, Lei, et al.
Publicado: (2025)

Structured Optimal Variational Inference for Dynamic Latent Space Models
por: Zhao, Peng, et al.
Publicado: (2022)

Efficient Graph Matching for Correlated Stochastic Block Models
por: Chai, Shuwen, et al.
Publicado: (2024)

Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice Models
por: van der Laan, Lars, et al.
Publicado: (2025)

Winners with Confidence: Discrete Argmin Inference with an Application to Model Selection
por: Zhang, Tianyu, et al.
Publicado: (2024)

Optimal Transport with Heterogeneously Missing Data
por: Bleistein, Linus, et al.
Publicado: (2025)

Optimal Transport under Group Fairness Constraints
por: Bleistein, Linus, et al.
Publicado: (2026)

Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives
por: Balakrishnan, Sivaraman, et al.
Publicado: (2025)

Plugin Estimation of Smooth Optimal Transport Maps
por: Manole, Tudor, et al.
Publicado: (2021)

Information-Theoretic Limits and Strong Consistency on Binary Non-uniform Hypergraph Stochastic Block Models
por: Wang, Hai-Xiao
Publicado: (2023)

Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
por: Ponnoprat, Donlapark, et al.
Publicado: (2026)

$L^2$ over Wasserstein: Statistical Analysis for Optimal Transport
por: Passeggeri, Riccardo, et al.
Publicado: (2026)

Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams
por: Granese, Federica, et al.
Publicado: (2025)

A Copula Graphical Model for Multi-Attribute Data using Optimal Transport
por: Zhang, Qi, et al.
Publicado: (2024)

Robust Model Selection of Gaussian Graphical Models
por: Zahin, Abrar, et al.
Publicado: (2022)

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

A Correction of Pseudo Log-Likelihood Method
por: Feng, Shi, et al.
Publicado: (2024)

Minimax Rate-Optimal Algorithms for High-Dimensional Stochastic Linear Bandits
por: Liu, Jingyu, et al.
Publicado: (2025)

Valid Inference for Machine Learning Model Parameters
por: Dey, Neil, et al.
Publicado: (2023)

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

Optimal Transportation and Alignment Between Gaussian Measures
por: Dandapanthula, Sanjit, et al.
Publicado: (2025)

Strongly Consistent Community Detection in Popularity Adjusted Block Models
por: Yuan, Quan, et al.
Publicado: (2025)

Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets
por: Landa, Boris, et al.
Publicado: (2024)

Statistical Inference in Tensor Completion: Optimal Uncertainty Quantification and Statistical-to-Computational Gaps
por: Ma, Wanteng, et al.
Publicado: (2024)