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Transfer Learning under High-dimensional Generalized Linear Models

Transfer Learning under High-dimensional Generalized Linear Models

29 May 2021
Ye Tian
Yang Feng
ArXivPDFHTML

Papers citing "Transfer Learning under High-dimensional Generalized Linear Models"

16 / 16 papers shown
Title
High-Dimensional Importance-Weighted Information Criteria: Theory and Optimality
High-Dimensional Importance-Weighted Information Criteria: Theory and Optimality
Yong-Syun Cao
Shinpei Imori
Ching-Kang Ing
28
0
0
10 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang
Wenkang Hu
Jian Huang
Yuling Jiao
Xu Liu
DiffM
50
0
0
08 May 2025
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds
Aoran Chen
Yang Feng
28
0
0
05 May 2025
Transfer Learning for High-dimensional Reduced Rank Time Series Models
Transfer Learning for High-dimensional Reduced Rank Time Series Models
Mingliang Ma Abolfazl Safikhani
AI4TS
43
0
0
22 Apr 2025
Representation Retrieval Learning for Heterogeneous Data Integration
Qi Xu
Annie Qu
55
0
0
12 Mar 2025
Transfer Learning for Spatial Autoregressive Models
Transfer Learning for Spatial Autoregressive Models
Hao Zeng
Wei Zhong
Xingbai Xu
36
0
0
20 May 2024
Transfer Learning for Functional Mean Estimation: Phase Transition and
  Adaptive Algorithms
Transfer Learning for Functional Mean Estimation: Phase Transition and Adaptive Algorithms
T. T. Cai
Dongwoo Kim
Hongming Pu
47
7
0
22 Jan 2024
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective
Masaaki Takada
Hironori Fujisawa
21
1
0
30 Aug 2023
Transfer Learning with Uncertainty Quantification: Random Effect
  Calibration of Source to Target (RECaST)
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST)
Jimmy Hickey
Jonathan P. Williams
Emily C. Hector
UQCV
BDL
23
2
0
29 Nov 2022
Transfer learning for tensor Gaussian graphical models
Transfer learning for tensor Gaussian graphical models
Mingyang Ren
Yao Zhen
Junhui Wang
19
1
0
17 Nov 2022
A Correlation-Ratio Transfer Learning and Variational Stein's Paradox
A Correlation-Ratio Transfer Learning and Variational Stein's Paradox
Lu Lin
Weiyu Li
18
3
0
10 Jun 2022
On Hypothesis Transfer Learning of Functional Linear Models
On Hypothesis Transfer Learning of Functional Linear Models
Haotian Lin
M. Reimherr
25
3
0
09 Jun 2022
Adaptive and Robust Multi-Task Learning
Adaptive and Robust Multi-Task Learning
Yaqi Duan
Kaizheng Wang
75
23
0
10 Feb 2022
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
22
45
0
27 Aug 2021
Statistical Inference for Maximin Effects: Identifying Stable
  Associations across Multiple Studies
Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies
Zijian Guo
28
17
0
15 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
22
0
0
11 Nov 2020
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