Transfer Learning with Network Embeddings under Structured Missingness
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Mengyan, Li, Xiaoou, Mandl, Kenneth D, Cai, Tianxi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| 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)
by: Cai, Tianxi, et al.
Published: (2022)
Model-assisted and Knowledge-guided Transfer Regression for the Underrepresented Population
by: Zhou, Doudou, et al.
Published: (2024)
by: Zhou, Doudou, et al.
Published: (2024)
Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
by: Liu, Suqi, et al.
Published: (2024)
by: Liu, Suqi, et al.
Published: (2024)
Integrated Analysis for Electronic Health Records with Structured and Sporadic Missingness
by: Tan, Jianbin, et al.
Published: (2025)
by: Tan, Jianbin, et al.
Published: (2025)
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
by: Wang, Linshanshan, et al.
Published: (2025)
by: Wang, Linshanshan, et al.
Published: (2025)
Sequential Change Point Detection with FDR Control in Reconfigurable Sensor Networks
by: Lee, Seungwon, et al.
Published: (2025)
by: Lee, Seungwon, et al.
Published: (2025)
Knowledge-Embedded Latent Projection for Robust Representation Learning
by: Tang, Weijing, et al.
Published: (2026)
by: Tang, Weijing, et al.
Published: (2026)
Sampling-based federated inference for M-estimators with non-smooth objective functions
by: Li, Xiudi, et al.
Published: (2025)
by: Li, Xiudi, et al.
Published: (2025)
Spherical Mixture Integration for Latent Embedding Alignment across Multi-Source Feature Spaces
by: Zhang, Yuming, et al.
Published: (2026)
by: Zhang, Yuming, et al.
Published: (2026)
A Note on Exploratory Item Factor Analysis by Singular Value Decomposition
by: Zhang, Haoran, et al.
Published: (2019)
by: Zhang, Haoran, et al.
Published: (2019)
Perturbation-Robust Predictive Modeling of Social Effects by Network Subspace Generalized Linear Models
by: Wang, Jianxiang, et al.
Published: (2024)
by: Wang, Jianxiang, et al.
Published: (2024)
Representation Learning with Blockwise Missingness and Signal Heterogeneity
by: Liu, Ziqi, et al.
Published: (2026)
by: Liu, Ziqi, et al.
Published: (2026)
Globally-Optimal Greedy Experiment Selection for Active Sequential Estimation
by: Li, Xiaoou, et al.
Published: (2024)
by: Li, Xiaoou, et al.
Published: (2024)
Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness
by: Mao, Xiaojun, et al.
Published: (2024)
by: Mao, Xiaojun, et al.
Published: (2024)
Measuring the Impact of Missingness in Traffic Stop Data
by: Kher, Saatvik, et al.
Published: (2025)
by: Kher, Saatvik, et al.
Published: (2025)
Statistical Inference for Matching Decisions via Matrix Completion under Dependent Missingness
by: Duan, Congyuan, et al.
Published: (2025)
by: Duan, Congyuan, et al.
Published: (2025)
Modeling Multivariate Missingness with Tree Graphs and Conjugate Odds
by: Suen, Daniel, et al.
Published: (2026)
by: Suen, Daniel, et al.
Published: (2026)
Missingness-Adaptive Factor Identification in High-Dimensional Data
by: Zeng, Ping, et al.
Published: (2026)
by: Zeng, Ping, et al.
Published: (2026)
Stochastic Volatility under Informative Missingness
by: Zhang, Gehui, et al.
Published: (2025)
by: Zhang, Gehui, et al.
Published: (2025)
Generalized Tensor Completion with Non-Random Missingness
by: Zhang, Maoyu, et al.
Published: (2025)
by: Zhang, Maoyu, et al.
Published: (2025)
Domain Adaptation Under MNAR Missingness
by: Stokes, Tyrel, et al.
Published: (2025)
by: Stokes, Tyrel, et al.
Published: (2025)
A Latent Variable Model with Change-Points and Its Application to Time Pressure Effects in Educational Assessment
by: Wallin, Gabriel, et al.
Published: (2024)
by: Wallin, Gabriel, et al.
Published: (2024)
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
by: Liang, Zihan, et al.
Published: (2025)
by: Liang, Zihan, et al.
Published: (2025)
Multivariate Inference of Network Moments by Subsampling
by: Qi, Mingyu, et al.
Published: (2024)
by: Qi, Mingyu, 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)
by: Wang, Xuan, et al.
Published: (2024)
A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
by: Chen, Xingran, et al.
Published: (2025)
by: Chen, Xingran, et al.
Published: (2025)
Parametric MMD Estimation with Missing Values: Robustness to Missingness and Data Model Misspecification
by: Chérief-Abdellatif, Badr-Eddine, et al.
Published: (2025)
by: Chérief-Abdellatif, Badr-Eddine, et al.
Published: (2025)
Domain Adaptation Optimized for Robustness in Mixture Populations
by: Zhan, Keyao, et al.
Published: (2024)
by: Zhan, Keyao, et al.
Published: (2024)
Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI
by: Xiong, Xin, et al.
Published: (2026)
by: Xiong, Xin, et al.
Published: (2026)
Prediction with Missing Data: Target Probabilities and Missingness Mechanisms
by: Catoire, Pierre, et al.
Published: (2026)
by: Catoire, Pierre, et al.
Published: (2026)
DANIEL: A Distributed and Scalable Approach for Global Representation Learning with EHR Applications
by: Wang, Zebin, et al.
Published: (2025)
by: Wang, Zebin, et al.
Published: (2025)
Nonparametric estimation of time-varying network connections by multi-stage smoothing
by: Lee, Jeonghwan, et al.
Published: (2026)
by: Lee, Jeonghwan, et al.
Published: (2026)
Handling Missingness, Failures, and Non-Convergence in Simulation Studies: A Review of Current Practices and Recommendations
by: Pawel, Samuel, et al.
Published: (2024)
by: Pawel, Samuel, et al.
Published: (2024)
Federated Offline Reinforcement Learning
by: Zhou, Doudou, et al.
Published: (2022)
by: Zhou, Doudou, et al.
Published: (2022)
Blockwise Missingness meets AI: A Tractable Solution for Semiparametric Inference
by: Xu, Qi, et al.
Published: (2025)
by: Xu, Qi, et al.
Published: (2025)
Two-sample Testing with Block-wise Missingness in Multi-source Data
by: Zhang, Kejian, et al.
Published: (2025)
by: Zhang, Kejian, et al.
Published: (2025)
Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
by: Benz, Luke, et al.
Published: (2025)
by: Benz, Luke, et al.
Published: (2025)
GRAND: Graph Release with Assured Node Differential Privacy
by: Liu, Suqing, et al.
Published: (2025)
by: Liu, Suqing, et al.
Published: (2025)
Common-Individual Embedding for Dynamic Networks with Temporal Group Structure
by: Bai, Hairi, et al.
Published: (2025)
by: Bai, Hairi, et al.
Published: (2025)
Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness
by: Liang, Zihan, et al.
Published: (2026)
by: Liang, Zihan, et al.
Published: (2026)
Similar Items
-
Semi-supervised Triply Robust Inductive Transfer Learning
by: Cai, Tianxi, et al.
Published: (2022) -
Model-assisted and Knowledge-guided Transfer Regression for the Underrepresented Population
by: Zhou, Doudou, et al.
Published: (2024) -
Representation-Enhanced Neural Knowledge Integration with Application to Large-Scale Medical Ontology Learning
by: Liu, Suqi, et al.
Published: (2024) -
Integrated Analysis for Electronic Health Records with Structured and Sporadic Missingness
by: Tan, Jianbin, et al.
Published: (2025) -
Semi-supervised Clustering Through Representation Learning of Large-scale EHR Data
by: Wang, Linshanshan, et al.
Published: (2025)