Image de couverture de livre

Transfer learning for piecewise-constant mean estimation: Optimality, $\ell_1$- and $\ell_0$-penalisation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Fan, Yu, Yi
Format:	Preprint
Publié:	2023
Sujets:	Methodology Statistics Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Optimal estimation in private distributed functional data analysis
par: Xue, Gengyu, et autres
Publié: (2024)

$\ell_1$-Regularized Generalized Least Squares
par: Nobari, Kaveh S., et autres
Publié: (2024)

Asymptotic Behavior of Adversarial Training Estimator under $\ell_\infty$-Perturbation
par: Xie, Yiling, et autres
Publié: (2024)

Optimal estimation of generalized causal effects in cluster-randomized trials with multiple outcomes
par: Chen, Xinyuan, et autres
Publié: (2026)

Do we need to estimate the variance in robust mean estimation?
par: Sun, Qiang
Publié: (2021)

On the optimality of coin-betting for mean estimation
par: Clerico, Eugenio
Publié: (2024)

Optimal inference for the mean of random functions
par: Kassi, Omar, et autres
Publié: (2025)

Crossing penalised CAViaR
par: Szendrei, Tibor
Publié: (2025)

Robust mean change point testing in high-dimensional data with heavy tails
par: Li, Mengchu, et autres
Publié: (2023)

Transfer Learning for Nonparametric Contextual Dynamic Pricing
par: Wang, Fan, et autres
Publié: (2025)

Selective inference after convex clustering with $\ell_1$ penalization
par: Bachoc, François, et autres
Publié: (2023)

Optimal estimation of the null distribution in large-scale inference
par: Kotekal, Subhodh, et autres
Publié: (2024)

Anisotropic local constant smoothing for change-point regression function estimation
par: Thompson, John R. J., et autres
Publié: (2020)

Optimal Cox regression under federated differential privacy: coefficients and cumulative hazards
par: Hung, Elly K. H., et autres
Publié: (2025)

A piecewise deterministic Monte Carlo method for diffusion bridges
par: Bierkens, Joris, et autres
Publié: (2020)

Rate Optimality and Phase Transition for User-Level Local Differential Privacy
par: Kent, Alexander, et autres
Publié: (2024)

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

Average partial effect estimation using double machine learning
par: Klyne, Harvey, et autres
Publié: (2023)

Estimating Higher-Order Mixed Memberships via the $\ell_{2,\infty}$ Tensor Perturbation Bound
par: Agterberg, Joshua, et autres
Publié: (2022)

Optimal covariance matrix estimation for high-dimensional noise in high-frequency data
par: Chang, Jinyuan, et autres
Publié: (2018)

Optimal rates for estimating the covariance kernel from synchronously sampled functional data
par: Berger, Max, et autres
Publié: (2024)

Optimal convex $M$-estimation via score matching
par: Feng, Oliver Y., et autres
Publié: (2024)

Optimal estimation for regression discontinuity design with binary outcomes
par: Ishihara, Takuya, et autres
Publié: (2025)

Consistent Empirical Bayes estimation of the mean of a mixing distribution without identifiability assumption. With applications to treatment of non-response
par: Greenshtein, Eitan
Publié: (2024)

A renormalization-group inspired lattice-based framework for piecewise generalized linear models
par: Chang, Joshua C.
Publié: (2026)

Revisiting mean estimation over $\ell_p$ balls: Is the MLE optimal?
par: Aolaritei, Liviu, et autres
Publié: (2025)

M-estimation with e-statistics
par: Wang, Hongjian, et autres
Publié: (2026)

Optimal Spatial Anomaly Detection
par: Wang, Baiyu, et autres
Publié: (2025)

Profiled Transfer Learning for High Dimensional Linear Model
par: Lin, Ziqian, et autres
Publié: (2024)

Edge differentially private estimation in the $β$-model via jittering and method of moments
par: Chang, Jinyuan, et autres
Publié: (2021)

Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints
par: Zhao, Zifeng, et autres
Publié: (2024)

Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation
par: Wang, Xiaohan, et autres
Publié: (2025)

Optimal Design under Interference, Homophily, and Robustness Trade-offs
par: Thiyageswaran, Vydhourie, et autres
Publié: (2026)

Rate doubly robust estimation for weighted average treatment effects
par: Wang, Yiming, et autres
Publié: (2025)

Surrogate modeling for probability distribution estimation:uniform or adaptive design?
par: Su, Maijia, et autres
Publié: (2024)

Shape-restricted transfer learning analysis for generalized linear regression model
par: Li, Pengfei, et autres
Publié: (2024)

From nonstationarity to stationarity via $1/f$ noise: discrete Fourier transforms and sample mean asymptotics for testing
par: Haye, Mohamedou Ould, et autres
Publié: (2026)

Bayesian $L_{\frac{1}{2}}$ regression
par: Ke, Xiongwen, et autres
Publié: (2021)

Weight-calibrated estimation for factor models of high-dimensional time series
par: Qiao, Xinghao, et autres
Publié: (2025)

Inverting estimating equations for causal inference on quantiles
par: Cheng, Chao, et autres
Publié: (2024)