Cover Image

Minimax and adaptive estimation of general linear functionals under sparsity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xie, Jie, Huang, Dongming
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Generalized Framework for Approximate Co-Sufficient Sampling
by: Xie, Jie, et al.
Published: (2025)

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

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

Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
by: Peng, Jingfu, et al.
Published: (2025)

Weak convergence of Bayes estimators under general loss functions
by: Requadt, Robin, et al.
Published: (2025)

Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity
by: Liu, Lin, et al.
Published: (2023)

Asymptotics for estimating a diverging number of parameters -- with and without sparsity
by: Gauss, Jana, et al.
Published: (2024)

Influence as soft sparsity: Estimation of monotone functions on $\{0,1\}^d$
by: Biau, Gérard
Published: (2026)

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

Regression graphs and sparsity-inducing reparametrizations
by: Rybak, Jakub, et al.
Published: (2024)

Alignment-Sensitive Minimax Rates for Spectral Algorithms with Learned Kernels
by: Huang, Dongming, et al.
Published: (2025)

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

Semiparametric adaptive estimation under informative sampling
by: Morikawa, Kosuke, et al.
Published: (2022)

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

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

Regularization Using Synthetic Data in High-Dimensional Models
by: Li, Weihao, et al.
Published: (2024)

Efficient estimation and data fusion under general semiparametric restrictions on outcome mean functions
by: Li, Harrison H.
Published: (2024)

Restricted maximum likelihood estimation in generalized linear mixed models
by: Maestrini, Luca, et al.
Published: (2024)

Efficient estimation of partially linear additive Cox models and variance estimation under shape restrictions
by: Lang, Junjun, et al.
Published: (2024)

Minimax asymptotics
by: Meitz, Mika, et al.
Published: (2025)

Learning sparsity-promoting regularizers for linear inverse problems
by: Alberti, Giovanni S., et al.
Published: (2024)

Minimax Statistical Estimation under Wasserstein Contamination
by: Chao, Patrick, et al.
Published: (2023)

Minimax Linear Regression under the Quantile Risk
by: Hanchi, Ayoub El, et al.
Published: (2024)

Minimaxity under the half-Cauchy prior
by: Maruyama, Yuzo, et al.
Published: (2024)

Minimax rate for multivariate data under componentwise local differential privacy constraints
by: Amorino, Chiara, et al.
Published: (2023)

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

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

On sparsity, power-law and clustering properties of graphex processes
by: Caron, François, et al.
Published: (2017)

Beyond entropic regularization: Debiased Gaussian estimators for discrete optimal transport and general linear programs
by: Liu, Shuyu, et al.
Published: (2025)

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

Asymptotic distributions of four linear hypotheses test statistics under generalized spiked model
by: Liu, Zhijun, et al.
Published: (2025)

Error estimation and adaptive tuning for unregularized robust M-estimator
by: Bellec, Pierre C., et al.
Published: (2023)

Bootstrap inference in functional linear regression models with scalar response under heteroscedasticity
by: Yeon, Hyemin, et al.
Published: (2023)

Minimax rates of convergence for nonparametric regression under adversarial attacks
by: Peng, Jingfu, et al.
Published: (2024)

Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy
by: Cai, T. Tony, et al.
Published: (2026)

Minimax Optimal rates of convergence in the shuffled regression, unlinked regression, and deconvolution under vanishing noise
by: Durot, Cecile, et al.
Published: (2024)

Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable
by: Kwon, Hyeok Kyu, et al.
Published: (2023)

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

Structural adaptation and rate accelerated estimation in bivariate functional data
by: Kassi, Omar, et al.
Published: (2024)

On estimation of skewed stable linear regression
by: Kawamo, Eitaro, et al.
Published: (2024)