Imagen de Portada

General Divergence Regularized Optimal Transport: Sample Complexity and Central Limit Theorems

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yang, Jiaping, Zhang, Yunxin
Formato:	Preprint
Publicado:	2025
Materias:	Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Two-Sample Inference for Gaussian-Smoothed Wasserstein Costs with Finite Moments
por: Yang, Jiaping, et al.
Publicado: (2026)

Central Limit Theorems for Smooth Optimal Transport Maps
por: Manole, Tudor, et al.
Publicado: (2023)

Central Limit Theorems for Sample Average Approximations in Stochastic Optimal Control
por: Milz, Johannes, et al.
Publicado: (2025)

Sample Complexity of Quadratically Regularized Optimal Transport
por: González-Sanz, Alberto, et al.
Publicado: (2025)

General Covariance-Based Conditions for Central Limit Theorems with Dependent Triangular Arrays
por: Chandrasekhar, Arun G., et al.
Publicado: (2023)

A Combinatorial Central Limit Theorem for Stratified Randomization
por: Tuvaandorj, Purevdorj
Publicado: (2024)

Central Limit Theorems for Coupled Particle Filters
por: Jasra, Ajay, et al.
Publicado: (2018)

Training and Testing with Multiple Splits: A Central Limit Theorem for Split-Sample Estimators
por: Fava, Bruno
Publicado: (2025)

A Central Limit Theorem for the permutation importance measure
por: Föge, Nico, et al.
Publicado: (2024)

Sample Complexity of Probability Divergences under Group Symmetry
por: Chen, Ziyu, et al.
Publicado: (2023)

Saddle Point Approximation and Central Limit Theorem for Densities in high dimensions
por: Katsevich, Alexander
Publicado: (2025)

On the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL Regularization
por: Ji, Kaixuan, et al.
Publicado: (2026)

A Statistical Test for Comparing the Linkage and Admixture Model Based on Central Limit Theorems
por: Heinzel, Carola Sophia
Publicado: (2025)

Generalization of the Central Limit Theorem to Critical Systems: Revisiting Perturbation Theory
por: Sahu, Sankarshan, et al.
Publicado: (2024)

Generalized Optimal Transport
por: Voronin, Andrei
Publicado: (2025)

On the Kolmogorov Superposition Theorem and Regular Means
por: de Carvalho, Miguel
Publicado: (2026)

k-Sample inference via Multimarginal Optimal Transport
por: Kravtsova, Natalia
Publicado: (2025)

Optimal Rates for Functional Linear Regression with General Regularization
por: Gupta, Naveen, et al.
Publicado: (2024)

Central Limit Theorem for Bayesian Neural Network trained with Variational Inference
por: Descours, Arnaud, et al.
Publicado: (2024)

Limit Distribution Theory for Quantum Divergences
por: Sreekumar, Sreejith, et al.
Publicado: (2023)

No Eigenvalues Outside the Limiting Support of Generally Correlated and Noncentral Sample Covariance Matrices
por: Zhuang, Zeyan, et al.
Publicado: (2025)

Decision-Focused Optimal Transport
por: Liu, Suhan, et al.
Publicado: (2026)

Sparsistency for Inverse Optimal Transport
por: Andrade, Francisco, et al.
Publicado: (2023)

Taylor's Theorem and Mean Value Theorem for Random Functions and Random Variables
por: Yang, Yifan, et al.
Publicado: (2021)

Sample Complexity of Correlation Detection in the Gaussian Wigner Model
por: Huang, Dong, et al.
Publicado: (2025)

Closed Forms for Gaussian Kullback--Leibler Unbalanced Optimal Transport without Coupling Entropy
por: Yang, Jiaping, et al.
Publicado: (2026)

Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
por: Lau, Ivan, et al.
Publicado: (2025)

Information-Theoretic and Computational Limits of Correlation Detection under Graph Sampling
por: Huang, Dong, et al.
Publicado: (2026)

On High Dimensional Behaviour of Some Two-Sample Tests Based on Ball Divergence
por: Banerjee, Bilol, et al.
Publicado: (2022)

Limit Theorems for One-Dimensional Homogenized Diffusion Processes
por: Borodavka, Jaroslav I., et al.
Publicado: (2025)

Limit Theorems for Network Data without Metric Structure
por: Jiang, Wen, et al.
Publicado: (2025)

Neural Estimation Of Entropic Optimal Transport
por: Wang, Tao, et al.
Publicado: (2024)

On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling
por: Tang, Rong, et al.
Publicado: (2022)

Minimax Optimal Estimation of Mean and Covariance Functions with Spectral Regularization
por: Gupta, Naveen, et al.
Publicado: (2026)

Growth-Optimal E-Variables and an extension to the multivariate Csiszár-Sanov-Chernoff Theorem
por: Grünwald, Peter, et al.
Publicado: (2024)

Relationship between Hölder Divergence and Functional Density Power Divergence: Intersection and Generalization
por: Kobayashi, Masahiro
Publicado: (2025)

Optimal-Transport Based Multivariate Goodness-of-Fit Tests
por: Hlávka, Zdeněk, et al.
Publicado: (2025)

Neural Entropic Optimal Transport and Gromov-Wasserstein Alignment
por: Wang, Tao, et al.
Publicado: (2023)

A Constructive Approach to $q$-Gaussian Distributions: $α$-Divergence as Rate Function and Generalized de Moivre-Laplace Theorem
por: Suyari, Hiroki, et al.
Publicado: (2026)

Some Generalized Information and Divergence Generating Functions: Properties, Estimation, Validation and Applications
por: Saha, Shital, et al.
Publicado: (2024)