Estimating Peer Direct and Indirect Effects in Observational Network Data
Fuente:
arXiv
Saved in:
| Main Authors: | Du, Xiaojing, Li, Jiuyong, Cheng, Debo, Liu, Lin, Gao, Wentao, Chen, Xiongren |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Peer Effect Estimation in the Presence of Simultaneous Feedback and Unobserved Confounders
by: Du, Xiaojing, et al.
Published: (2025)
by: Du, Xiaojing, et al.
Published: (2025)
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
by: Gao, Wentao, et al.
Published: (2024)
by: Gao, Wentao, et al.
Published: (2024)
Disentangled Instrumental Variables for Causal Inference with Networked Observational Data
by: Huang, Zhirong, et al.
Published: (2026)
by: Huang, Zhirong, et al.
Published: (2026)
From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction
by: Gao, Wentao, et al.
Published: (2025)
by: Gao, Wentao, et al.
Published: (2025)
Deconfounded Time Series Forecasting: A Causal Inference Approach
by: Gao, Wentao, et al.
Published: (2024)
by: Gao, Wentao, et al.
Published: (2024)
Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems
by: Huang, Zhirong, et al.
Published: (2024)
by: Huang, Zhirong, et al.
Published: (2024)
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data
by: Cheng, Debo, et al.
Published: (2024)
by: Cheng, Debo, et al.
Published: (2024)
Learning Fair Graph Representations with Multi-view Information Bottleneck
by: Liu, Chuxun, et al.
Published: (2025)
by: Liu, Chuxun, et al.
Published: (2025)
Towards Fair Graph Representation Learning in Social Networks
by: Zhang, Guixian, et al.
Published: (2024)
by: Zhang, Guixian, et al.
Published: (2024)
TSI: A Multi-View Representation Learning Approach for Time Series Forecasting
by: Gao, Wentao, et al.
Published: (2024)
by: Gao, Wentao, et al.
Published: (2024)
Mitigating Propensity Bias of Large Language Models for Recommender Systems
by: Zhang, Guixian, et al.
Published: (2024)
by: Zhang, Guixian, et al.
Published: (2024)
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems
by: Huang, Zhirong, et al.
Published: (2024)
by: Huang, Zhirong, et al.
Published: (2024)
Disentangled Representation Learning for Causal Inference with Instruments
by: Cheng, Debo, et al.
Published: (2024)
by: Cheng, Debo, et al.
Published: (2024)
Causal GNNs: A GNN-Driven Instrumental Variable Approach for Causal Inference in Networks
by: Du, Xiaojing, et al.
Published: (2024)
by: Du, Xiaojing, et al.
Published: (2024)
Identifying the Group to Intervene on to Maximise Effect Under Cross-Group Interference
by: Du, Xiaojing, et al.
Published: (2026)
by: Du, Xiaojing, et al.
Published: (2026)
Mitigating Dual Latent Confounding Biases in Recommender Systems
by: Deng, Jianfeng, et al.
Published: (2024)
by: Deng, Jianfeng, et al.
Published: (2024)
Estimating Direct and Indirect Causal Effects of Spatiotemporal Interventions in Presence of Spatial Interference
by: Ali, Sahara, et al.
Published: (2024)
by: Ali, Sahara, et al.
Published: (2024)
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
by: Li, Chen, et al.
Published: (2023)
by: Li, Chen, et al.
Published: (2023)
Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
by: Ling, Zhaolong, et al.
Published: (2021)
by: Ling, Zhaolong, et al.
Published: (2021)
Treatment Effect Estimation with Differentiated Networked Effect on Graph Data
by: Lin, Xiaofeng, et al.
Published: (2026)
by: Lin, Xiaofeng, et al.
Published: (2026)
Agent-as-Peer-Debriefer: A Multi-Agent Framework with Perspective-Based Refinement for Qualitative Analysis
by: Lin, Zhimin, et al.
Published: (2026)
by: Lin, Zhimin, et al.
Published: (2026)
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale
by: Ou, Tianyue, et al.
Published: (2024)
by: Ou, Tianyue, et al.
Published: (2024)
Dependency-based Anomaly Detection: a General Framework and Comprehensive Evaluation
by: Lu, Sha, et al.
Published: (2020)
by: Lu, Sha, et al.
Published: (2020)
DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection
by: Chen, Qingfeng, et al.
Published: (2025)
by: Chen, Qingfeng, et al.
Published: (2025)
Advancing Aspect-Based Sentiment Analysis through Deep Learning Models
by: Li, Chen, et al.
Published: (2024)
by: Li, Chen, et al.
Published: (2024)
Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables
by: Xie, Yang, et al.
Published: (2024)
by: Xie, Yang, et al.
Published: (2024)
Latent-Space Causal Discovery from Indirect Neuroimaging Observations
by: Bae, Sangyoon, et al.
Published: (2026)
by: Bae, Sangyoon, et al.
Published: (2026)
Towards Learning and Explaining Indirect Causal Effects in Neural Networks
by: Reddy, Abbavaram Gowtham, et al.
Published: (2023)
by: Reddy, Abbavaram Gowtham, et al.
Published: (2023)
uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN
by: Lu, Sha, et al.
Published: (2026)
by: Lu, Sha, et al.
Published: (2026)
Estimating Visual Attribute Effects in Advertising from Observational Data: A Deepfake-Informed Double Machine Learning Approach
by: Liu, Yizhi, et al.
Published: (2026)
by: Liu, Yizhi, et al.
Published: (2026)
Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework
by: Wang, Dong, et al.
Published: (2025)
by: Wang, Dong, et al.
Published: (2025)
Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus
by: Rodríguez-Betancourt, Esteban, et al.
Published: (2026)
by: Rodríguez-Betancourt, Esteban, et al.
Published: (2026)
Hybrid Local Causal Discovery
by: Ling, Zhaolong, et al.
Published: (2024)
by: Ling, Zhaolong, et al.
Published: (2024)
Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems
by: Zhang, Guixian, et al.
Published: (2025)
by: Zhang, Guixian, et al.
Published: (2025)
PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations
by: Li, Ruosen, et al.
Published: (2023)
by: Li, Ruosen, et al.
Published: (2023)
Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
PeerArg: Argumentative Peer Review with LLMs
by: Sukpanichnant, Purin, et al.
Published: (2024)
by: Sukpanichnant, Purin, et al.
Published: (2024)
A Novel Generative Model with Causality Constraint for Mitigating Biases in Recommender Systems
by: Deng, Jianfeng, et al.
Published: (2025)
by: Deng, Jianfeng, et al.
Published: (2025)
Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing
by: Wang, Taotao, et al.
Published: (2026)
by: Wang, Taotao, et al.
Published: (2026)
Counterfactual Samples Constructing and Training for Commonsense Statements Estimation
by: Liu, Chong, et al.
Published: (2024)
by: Liu, Chong, et al.
Published: (2024)
Similar Items
-
Peer Effect Estimation in the Presence of Simultaneous Feedback and Unobserved Confounders
by: Du, Xiaojing, et al.
Published: (2025) -
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
by: Gao, Wentao, et al.
Published: (2024) -
Disentangled Instrumental Variables for Causal Inference with Networked Observational Data
by: Huang, Zhirong, et al.
Published: (2026) -
From Noise to Precision: A Diffusion-Driven Approach to Zero-Inflated Precipitation Prediction
by: Gao, Wentao, et al.
Published: (2025) -
Deconfounded Time Series Forecasting: A Causal Inference Approach
by: Gao, Wentao, et al.
Published: (2024)