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Transfer Learning for High-dimensional Linear Regression: Prediction,
  Estimation, and Minimax Optimality

Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality

18 June 2020
Sai Li
T. Tony Cai
Hongzhe Li
ArXivPDFHTML

Papers citing "Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality"

12 / 62 papers shown
Title
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
L. Han
Jue Hou
Kelly Cho
R. Duan
Tianxi Cai
CML
FedML
CVBM
8
30
0
17 Dec 2021
Targeting Underrepresented Populations in Precision Medicine: A
  Federated Transfer Learning Approach
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach
Sai Li
Tianxi Cai
R. Duan
6
43
0
27 Aug 2021
Transfer Learning under High-dimensional Generalized Linear Models
Transfer Learning under High-dimensional Generalized Linear Models
Ye Tian
Yang Feng
16
117
0
29 May 2021
Optimal oracle inequalities for solving projected fixed-point equations
Optimal oracle inequalities for solving projected fixed-point equations
Wenlong Mou
A. Pananjady
Martin J. Wainwright
11
14
0
09 Dec 2020
Optimal and Safe Estimation for High-Dimensional Semi-Supervised
  Learning
Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning
Siyi Deng
Y. Ning
Jiwei Zhao
Heping Zhang
23
7
0
28 Nov 2020
Robust and flexible learning of a high-dimensional classification rule
  using auxiliary outcomes
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes
Muxuan Liang
Jaeyoung Park
Qing Lu
Xiang Zhong
6
0
0
11 Nov 2020
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
Fan Yang
Hongyang R. Zhang
Sen Wu
Christopher Ré
Weijie J. Su
49
10
0
22 Oct 2020
Transfer Learning in Large-scale Gaussian Graphical Models with False
  Discovery Rate Control
Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate Control
Sai Li
T. Tony Cai
Hongzhe Li
14
51
0
21 Oct 2020
Cross-study learning for generalist and specialist predictions
Cross-study learning for generalist and specialist predictions
Boyu Ren
Prasad Patil
Francesca Dominici
Giovanni Parmigiani
L. Trippa
12
10
0
24 Jul 2020
Learning Optimal Distributionally Robust Individualized Treatment Rules
Learning Optimal Distributionally Robust Individualized Treatment Rules
Weibin Mo
Zhengling Qi
Yufeng Liu
10
46
0
26 Jun 2020
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data
Zhun Deng
Linjun Zhang
Amirata Ghorbani
James Y. Zou
15
32
0
15 Jun 2020
Taking Advantage of Sparsity in Multi-Task Learning
Taking Advantage of Sparsity in Multi-Task Learning
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
178
292
0
09 Mar 2009
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