Cover Image

Model-assisted and Knowledge-guided Transfer Regression for the Underrepresented Population

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Doudou, Li, Mengyan, Cai, Tianxi, Liu, Molei
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
by: Wang, Linshanshan, et al.
Published: (2025)

Transfer Learning with Network Embeddings under Structured Missingness
by: Li, Mengyan, et al.
Published: (2026)

Domain Adaptation Optimized for Robustness in Mixture Populations
by: Zhan, Keyao, et al.
Published: (2024)

Inference of Dependency Knowledge Graph for Electronic Health Records
by: Xu, Zhiwei, et al.
Published: (2023)

Spherical Mixture Integration for Latent Embedding Alignment across Multi-Source Feature Spaces
by: Zhang, Yuming, et al.
Published: (2026)

Transfer Learning of CATE with Kernel Ridge Regression
by: Kim, Seok-Jin, et al.
Published: (2025)

Latent Factor Point Processes for Patient Representation in Electronic Health Records
by: Knight, Parker, et al.
Published: (2025)

Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI
by: Xiong, Xin, et al.
Published: (2026)

Representation-Aware Distributionally Robust Optimization: A Knowledge Transfer Framework
by: Wang, Zitao, et al.
Published: (2025)

Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes
by: Xu, Mingyuan, et al.
Published: (2026)

Model-X Change-Point Detection of Conditional Distribution
by: Dong, Zhuofan, et al.
Published: (2025)

Federated Offline Reinforcement Learning
by: Zhou, Doudou, et al.
Published: (2022)

Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
by: Liu, Suqi, et al.
Published: (2024)

MATES: Multi-view Aggregated Two-Sample Test
by: Cai, Zexi, et al.
Published: (2024)

Sampling-based federated inference for M-estimators with non-smooth objective functions
by: Li, Xiudi, et al.
Published: (2025)

Asymptotic Distribution-free Change-point Detection for Modern Data Based on a New Ranking Scheme
by: Zhou, Doudou, et al.
Published: (2022)

Preference-based Centrality and Ranking in General Metric Spaces
by: Lyu, Lingfeng, et al.
Published: (2026)

Knowledge-Guided Wasserstein Distributionally Robust Optimization
by: Wang, Zitao, et al.
Published: (2025)

Adaptive Learning with Blockwise Missing and Semi-Supervised Data
by: Li, Yiming, et al.
Published: (2024)

Model-free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival
by: Wang, Xuan, et al.
Published: (2024)

Knowledge-Embedded Latent Projection for Robust Representation Learning
by: Tang, Weijing, et al.
Published: (2026)

Who Are We Missing? A Principled Approach to Characterizing the Underrepresented Population
by: Parikh, Harsh, et al.
Published: (2024)

Generalized Independence Test for Modern Data
by: Liu, Mingshuo, et al.
Published: (2024)

Perturbation-Robust Predictive Modeling of Social Effects by Network Subspace Generalized Linear Models
by: Wang, Jianxiang, et al.
Published: (2024)

WISE: A Weighted Similarity Aggregation Test for Serial Independence
by: Zhu, Qihua, et al.
Published: (2025)

A Semiparametric Approach for Robust and Efficient Learning with Biobank Data
by: Liu, Molei, et al.
Published: (2024)

Structured Transfer Learning for Survival Risk Stratification in Data-Sparse Clinical Cohorts
by: Yu, Junhan, et al.
Published: (2026)

A Trainable Centrality Framework for Modern Data
by: Vu, Minh Duc, et al.
Published: (2025)

TRACER: Transfer Learning based Real-time Adaptation for Clinical Evolving Risk
by: Yan, Mengying, et al.
Published: (2025)

Multi-source Stable Variable Importance Measure via Adversarial Machine Learning
by: Wang, Zitao, et al.
Published: (2024)

Covariate Shift Corrected Conditional Randomization Test
by: Xu, Bowen, et al.
Published: (2024)

Transfer Learning in Regression with Influential Points
by: Wang, Bingbing, et al.
Published: (2025)

Transfer Learning for Robust Structured Regression with Bi-level Source Detection
by: Shi, Haoming, et al.
Published: (2026)

Transfer Learning for Moderate-Dimensional Ridge-Regularized Robust Linear Regression
by: Lyu, Lingfeng, et al.
Published: (2026)

GRAND: Graph Release with Assured Node Differential Privacy
by: Liu, Suqing, et al.
Published: (2025)

Similarity-Informed Transfer Learning for Multivariate Functional Censored Quantile Regression
by: Liu, Hua, et al.
Published: (2025)

Two-sample Testing with Block-wise Missingness in Multi-source Data
by: Zhang, Kejian, et al.
Published: (2025)

Multivariate Inference of Network Moments by Subsampling
by: Qi, Mingyu, et al.
Published: (2024)

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