Cover Image

Simultaneous Estimation and Dataset Selection for Transfer Learning in High Dimensions by a Non-convex Penalty

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Zeyu, Liu, Dong, He, Yong, Zhang, Xinsheng
Format:	Preprint
Published:	2023
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Simultaneous Change Point Detection and Identification for High Dimensional Linear Models
by: Liu, Bin, et al.
Published: (2024)

Change Point Detection for High-dimensional Linear Models: A General Tail-adaptive Approach
by: Liu, Bin, et al.
Published: (2022)

Cross-Validated Loss-Based Covariance Matrix Estimator Selection in High Dimensions
by: Boileau, Philippe, et al.
Published: (2021)

BLOC: A Global Optimization Framework for Sparse Covariance Estimation with Non-Convex Penalties
by: Das, Priyam, et al.
Published: (2026)

Sequential and Simultaneous Distance-based Dimension Reduction
by: Ni, Yijin, et al.
Published: (2019)

Joint Adaptive Penalty for Unbalanced Mediation Pathways
by: Jiang, Hanying, et al.
Published: (2025)

Robust Twoblock Simultaneous Dimension Reduction
by: Serneels, Sven
Published: (2026)

Few-Round Distributed Principal Component Analysis: Closing the Statistical Efficiency Gap by Consensus
by: Li, ZeYu, et al.
Published: (2025)

Guidance on Individualized Treatment Rule Estimation in High Dimensions
by: Boileau, Philippe, et al.
Published: (2023)

Transfer Learning for Degree-Corrected Mixed Membership Network Models
by: He, Yong, et al.
Published: (2026)

Degrees of Freedom in Penalized Regression: Model Selection with Adaptive Penalties
by: Bernardi, Mauro, et al.
Published: (2025)

Estimating Propensities of Selection for Big Datasets via Data Integration
by: Ang, Lyndon, et al.
Published: (2025)

An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization
by: Hu, Shouri, et al.
Published: (2024)

High-dimensional Statistical Inference and Variable Selection Using Sufficient Dimension Association
by: Ye, Shangyuan, et al.
Published: (2024)

Transfer Learning with General Estimating Equations
by: Yan, Han, et al.
Published: (2024)

Selection of Ultrahigh-Dimensional Interactions Using $L_0$ Penalty
by: Zhang, Tonglin
Published: (2024)

Tight Generalization Error Bounds for Stochastic Gradient Descent in Non-convex Learning
by: Xiong, Wenjun, et al.
Published: (2025)

Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)

Bayesian Transfer Learning for Enhanced Estimation and Inference
by: Lai, Daoyuan, et al.
Published: (2024)

Non-Data-Splitting Estimator Selection for Regression in Exponential Families
by: Chen, Juntong
Published: (2022)

Enhancing Inference for Small Cohorts via Transfer Learning and Weighted Integration of Multiple Datasets
by: Guha, Subharup, et al.
Published: (2025)

Penalty-Induced Basis Exploration for Bayesian Splines
by: Lim, Sunwoo, et al.
Published: (2023)

A Local Modal Outer-Product-Gradient Estimator for Dimension Reduction
by: Li, Zheng, et al.
Published: (2024)

Clustering Tails in High Dimension
by: Chen, Liujun, et al.
Published: (2025)

Simultaneous Estimation of Many Sparse Networks via Hierarchical Poisson Log-Normal Model
by: Ge, Changhao, et al.
Published: (2024)

Leveraging Shared Factor Structures for Enhanced Matrix Completion with Nonconvex Penalty Regularization
by: A, Yuanhong, et al.
Published: (2025)

Representation Transfer Learning for Semiparametric Regression
by: He, Baihua, et al.
Published: (2024)

Achieving Fairness with a Simple Ridge Penalty
by: Scutari, Marco, et al.
Published: (2021)

Minimum Average Deviance Estimation for Sufficient Dimension Reduction
by: Adragni, Kofi P., et al.
Published: (2016)

Joint Estimation of Edge Probabilities for Multi-layer Networks via Neighborhood Smoothing
by: He, Yong, et al.
Published: (2026)

AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression
by: He, Zelin, et al.
Published: (2024)

Simultaneous Estimation of Multiple Treatment Effects from Observational Studies
by: Shi, Xiaochuan, et al.
Published: (2025)

Sufficient Dimension Reduction via Inverse Conditional Mean or Variance Independence
by: Liu, Jicai, et al.
Published: (2026)

Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets
by: Zhao, Ruzhang, et al.
Published: (2023)

Transfer Learning for Causal Effect Estimation
by: Wei, Song, et al.
Published: (2023)

Local Interaction Autoregressive Model for High Dimension Time Series Data
by: Li, Jingyang, et al.
Published: (2025)

Bayesian Variable Selection and Sparse Estimation for High-Dimensional Graphical Models
by: Chakravarti, Anwesha, et al.
Published: (2024)

A Short Note of Comparison between Convex and Non-convex Penalized Likelihood
by: Du, Kasy
Published: (2025)

Semi-supervised Triply Robust Inductive Transfer Learning
by: Cai, Tianxi, et al.
Published: (2022)

Bayesian Inference for Non-Gaussian Simultaneous Autoregressive Models with Missing Data
by: Wijayawardhana, Anjana, et al.
Published: (2025)