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

18 June 2020

T. Tony Cai

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

50 / 62 papers shown

Title
High-Dimensional Importance-Weighted Information Criteria: Theory and Optimality Yong-Syun Cao Shinpei Imori Ching-Kang Ing 21 0 0 10 May 2025
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian Manifolds Aoran Chen Yang Feng 22 0 0 05 May 2025
Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction Maximilian Schuessler Erik Sverdrup Robert Tibshirani CML 42 0 0 01 May 2025
Post-Transfer Learning Statistical Inference in High-Dimensional Regression Nguyen Vu Khai Tam Cao Huyen My Vo Nguyen Le Duy 19 0 0 25 Apr 2025
Transfer Learning for High-dimensional Reduced Rank Time Series Models Mingliang Ma Abolfazl Safikhani AI4TS 33 0 0 22 Apr 2025
Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation Chenqi Gong Hu Yang 19 0 0 07 Apr 2025
Representation Retrieval Learning for Heterogeneous Data Integration Qi Xu Annie Qu 50 0 0 12 Mar 2025
Locally Private Nonparametric Contextual Multi-armed Bandits Yuheng Ma Feiyu Jiang Zifeng Zhao Hanfang Yang Y. Yu 35 0 0 11 Mar 2025
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data Yeheng Ge Xueyu Zhou Jian Huang 30 0 0 22 Feb 2025
Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation Boxin Zhao Cong Ma Mladen Kolar 67 1 0 23 Nov 2024
Multi-Task Dynamic Pricing in Credit Market with Contextual Information Adel Javanmard Jingwei Ji Renyuan Xu 31 1 0 18 Oct 2024
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 39 1 0 12 Oct 2024
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency Xin Yu Zelin He Ying Sun Lingzhou Xue Runze Li FedML 26 0 0 11 Oct 2024
LLM Embeddings Improve Test-time Adaptation to Tabular $Y\|X$ -Shifts Yibo Zeng Jiashuo Liu H. Lam Hongseok Namkoong LMTD 19 1 0 09 Oct 2024
Shape-restricted transfer learning analysis for generalized linear regression model Stefan Langer Tao Yu Andreas Nürnberger Jing Qin 25 0 0 31 Jul 2024
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Romain Ilbert Malik Tiomoko Cosme Louart Ambroise Odonnat Vasilii Feofanov Themis Palpanas I. Redko AI4TS 55 1 0 14 Jun 2024
Profiled Transfer Learning for High Dimensional Linear Model Ziqian Lin Junlong Zhao Fang Wang Han Wang 37 1 0 02 Jun 2024
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification Jiachen Chen Danyang Huang Liyuan Wang Kathryn L. Lunetta Debarghya Mukherjee Huimin Cheng 25 0 0 26 May 2024
Transfer Learning for Spatial Autoregressive Models Hao Zeng Wei Zhong Xingbai Xu 19 0 0 20 May 2024
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality Sai Li Linjun Zhang OOD FaML 54 1 0 02 Apr 2024
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression Zelin He Ying Sun Jingyuan Liu Runze Li OOD 28 6 0 01 Apr 2024
A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart Surgery Larry Han Yi Zhang M. Nathan John E. Mayer S. Pasquali Katya Zelevinsky Rui Duan Sharon-Lise T. Normand CML 19 0 0 21 Mar 2024
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression Zelin He Ying Sun Jingyuan Liu Runze Li 19 1 0 20 Mar 2024
Smoothness Adaptive Hypothesis Transfer Learning Haotian Lin M. Reimherr 16 4 0 22 Feb 2024
Fusing Individualized Treatment Rules Using Secondary Outcomes Daiqi Gao Yuanjia Wang Donglin Zeng 17 0 0 13 Feb 2024
Transfer Learning for Functional Mean Estimation: Phase Transition and Adaptive Algorithms T. T. Cai Dongwoo Kim Hongming Pu 29 7 0 22 Jan 2024
Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure T. T. Cai Hongming Pu 13 19 0 22 Jan 2024
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets Ruzhang Zhao P. Kundu Arkajyoti Saha Nilanjan Chatterjee 13 2 0 20 Dec 2023
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms Ye Tian Haolei Weng Yang Feng 13 3 0 23 Oct 2023
Minimax Optimal Transfer Learning for Kernel-based Nonparametric Regression Chao Wang Caixing Wang Xin He Xingdong Feng 17 1 0 21 Oct 2023
Structural transfer learning of non-Gaussian DAG Mingyang Ren Xin He Junhui Wang CML 17 0 0 16 Oct 2023
$Transfer learning for piecewise-constant mean estimation: Optimality, $\ell_1$- and $\ell_0$-penalisation$ Transfer learning for piecewise-constant mean estimation: Optimality, $\ell_1$ - and $\ell_0$ -penalisation Fan Wang Yi Yu 13 0 0 09 Oct 2023
Multi-dimensional domain generalization with low-rank structures Sai Li Linjun Zhang 28 2 0 18 Sep 2023
Distributionally Robust Transfer Learning Xin Xiong Zijian Guo Tianxi Cai OOD 14 4 0 12 Sep 2023
What can we learn from quantum convolutional neural networks? Chukwudubem Umeano Annie E. Paine V. Elfving Oleksandr Kyriienko 12 12 0 31 Aug 2023
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective Masaaki Takada Hironori Fujisawa 11 1 0 30 Aug 2023
Unified Transfer Learning Models in High-Dimensional Linear Regression S. Liu 20 4 0 01 Jul 2023
Transfer Learning with Random Coefficient Ridge Regression Hongzhe Zhang Hongzhe Li 13 1 0 28 Jun 2023
Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes Peizhong Ju Sen Lin M. Squillante Yitao Liang Ness B. Shroff 22 2 0 08 Jun 2023
The ART of Transfer Learning: An Adaptive and Robust Pipeline Boxiang Wang Yunan "Charles" Wu Chenglong Ye MedIm OOD 11 1 0 30 Apr 2023
Statistical Inference and Large-scale Multiple Testing for High-dimensional Regression Models T. Tony Cai Zijian Guo Yin Xia 45 6 0 25 Jan 2023
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) Jimmy Hickey Jonathan P. Williams Emily C. Hector UQCV BDL 13 2 0 29 Nov 2022
Transfer Learning for Contextual Multi-armed Bandits Changxiao Cai T. Tony Cai Hongzhe Li 13 16 0 22 Nov 2022
Transfer learning for tensor Gaussian graphical models Mingyang Ren Yao Zhen Junhui Wang 9 1 0 17 Nov 2022
Turning the information-sharing dial: efficient inference from different data sources Emily C. Hector Ryan Martin 15 5 0 18 Jul 2022
On Hypothesis Transfer Learning of Functional Linear Models Haotian Lin M. Reimherr 16 3 0 09 Jun 2022
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality Xuhui Zhang Jose H. Blanchet Soumyadip Ghosh M. Squillante 8 8 0 23 Feb 2022
Adaptive and Robust Multi-Task Learning Yaqi Duan Kaizheng Wang 62 22 0 10 Feb 2022
Transferred Q-learning Elynn Y. Chen Michael I. Jordan Sai Li OffRL OnRL 17 4 0 09 Feb 2022
Multitask Learning and Bandits via Robust Statistics Kan Xu Hamsa Bastani 11 5 0 28 Dec 2021