Imagen de Portada

Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kwon, Hyeok Kyu, Chae, Minwoo
Formato:	Preprint
Publicado:	2023
Materias:	Statistics Theory
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks
por: Lee, Jeyong, et al.
Publicado: (2022)

Nonparametric estimation of a factorizable density using diffusion models
por: Kwon, Hyeok Kyu, et al.
Publicado: (2025)

Advances in Bayesian model selection consistency for high-dimensional generalized linear models
por: Lee, Jeyong, et al.
Publicado: (2024)

Minimax density estimation in the adversarial framework under local differential privacy
por: Albert, Mélisande, et al.
Publicado: (2024)

Extremal graphical modeling with latent variables via convex optimization
por: Engelke, Sebastian, et al.
Publicado: (2024)

Minimax optimal transfer learning for high-dimensional additive regression
por: Moon, Seung Hyun
Publicado: (2025)

Minimax estimation of functionals in sparse vector model with correlated observations
por: Wang, Yuhao, et al.
Publicado: (2024)

Generative model for optimal density estimation on unknown manifold
por: Stéphanovitch, Arthur
Publicado: (2025)

Minimax optimal seriation in polynomial time
por: Issartel, Yann, et al.
Publicado: (2024)

Minimax optimal testing by classification
por: Gerber, Patrik Róbert, et al.
Publicado: (2023)

High-dimensional inference for single-index model with latent factors
por: Shi, Yanmei, et al.
Publicado: (2025)

Minimax and adaptive estimation of general linear functionals under sparsity
por: Xie, Jie, et al.
Publicado: (2025)

Nonparametric optimal density estimation for censored circular data
por: Conanec, Nicolas, et al.
Publicado: (2025)

A note on kernel density estimators with optimal bandwidths
por: Hjort, Nils Lid, et al.
Publicado: (2026)

Quasi-Akaike information criterion of structural equation modeling with latent variables for diffusion processes
por: Kusano, Shogo, et al.
Publicado: (2024)

Minimax unbiased estimation for finite populations with bounded outcomes
por: Aronow, P. M., et al.
Publicado: (2026)

Minimax-optimal Halpern iterations for Lipschitz maps
por: Bravo, Mario, et al.
Publicado: (2026)

Model non-collapse: Minimax bounds for recursive discrete distribution estimation
por: Kanabar, Millen, et al.
Publicado: (2025)

Minimax-optimal and Locally-adaptive Online Nonparametric Regression
por: Liautaud, Paul, et al.
Publicado: (2024)

Minimax optimal differentially private synthetic data for smooth queries
por: Ding, Rundong, et al.
Publicado: (2026)

Minimax optimal submatrix detection: Sharp non-asymptotic rates
por: Knight, Parker, et al.
Publicado: (2026)

Minimax asymptotics
por: Meitz, Mika, et al.
Publicado: (2025)

Variable Selection and Minimax Prediction in High-dimensional Functional Linear Model
por: Guo, Xingche, et al.
Publicado: (2023)

Dimension estimation in PCA model using high-dimensional data augmentation
por: Radojicic, Una, et al.
Publicado: (2025)

Minimax estimation for Varying Coefficient Model via Laguerre Series
por: Benhaddou, Rida, et al.
Publicado: (2026)

Substitute adjustment via recovery of latent variables
por: Adams, Jeffrey, et al.
Publicado: (2024)

Minimax-optimal trust-aware multi-armed bandits
por: Cai, Changxiao, et al.
Publicado: (2024)

Rates of convergence for density estimation with generative adversarial networks
por: Puchkin, Nikita, et al.
Publicado: (2021)

The Bernstein-von Mises theorem for Bayesian one-pass online learning
por: Lee, Jeyong, et al.
Publicado: (2026)

Minimax rates of convergence for the nonparametric estimation of the diffusion coefficient from time-homogeneous SDE paths
por: Mintsa, Eddy Michel Ella
Publicado: (2025)

Convergence of covariance and spectral density estimates for high-dimensional functional time series
por: Li, Bufan, et al.
Publicado: (2025)

Seriation of Toeplitz and latent position matrices: optimal rates and computational trade-offs
por: Berenfeld, Clément, et al.
Publicado: (2024)

The generalized method of moments is (almost) statistically efficient in low-SNR Gaussian latent-variable models
por: Balanov, Amnon, et al.
Publicado: (2026)

Malliavin calculus for the optimal estimation of the invariant density of discretely observed diffusions in intermediate regime
por: Amorino, Chiara, et al.
Publicado: (2022)

Minimax Simple Bayes Estimators of a Normal Variance
por: Maruyama, Yuzo
Publicado: (2026)

Minimax estimation of Functional Principal Components from noisy discretized functional data: the case of smooth processes
por: Bourarach, Nassim, et al.
Publicado: (2026)

Statistical inference for rough volatility: Minimax Theory
por: Chong, Carsten, et al.
Publicado: (2022)

Tuning-free one-bit covariance estimation using data-driven dithering
por: Dirksen, Sjoerd, et al.
Publicado: (2023)

Adaptive estimation in regression models for weakly dependent data and explanatory variable with known density
por: Bertin, Karine, et al.
Publicado: (2025)

Minimax Rate-Optimal Inference for Individualized Quantile Treatment Effects in High-dimensional Models
por: Sun, Jiachen, et al.
Publicado: (2025)