AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression

20 March 2024

Papers citing "AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression"

9 / 9 papers shown

Title
Transfer Learning under High-dimensional Generalized Linear Models Ye Tian Yang Feng 66 126 0 29 May 2021
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques Filip Hanzely Boxin Zhao Mladen Kolar FedML 70 53 0 19 Feb 2021
Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate Control Sai Li T. Tony Cai Hongzhe Li 68 53 0 21 Oct 2020
A One-step Approach to Covariate Shift Adaptation Tianyi Zhang Ikko Yamane Nan Lu Masashi Sugiyama OOD 40 23 0 08 Jul 2020
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality Sai Li T. Tony Cai Hongzhe Li 87 164 0 18 Jun 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 62 139 0 08 Jun 2020
Domain Aggregation Networks for Multi-Source Domain Adaptation Junfeng Wen Russell Greiner Dale Schuurmans 55 71 0 11 Sep 2019
$Minimax rates of estimation for high-dimensional linear regression over $\ell_q$-balls$ Minimax rates of estimation for high-dimensional linear regression over $\ell_q$ -balls Garvesh Raskutti Martin J. Wainwright Bin Yu 220 575 0 11 Oct 2009
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models H. Zou Runze Li 286 1,234 0 07 Aug 2008