Anpeng Wu

Orcid: 0000-0003-3898-7122

According to our database¹, Anpeng Wu authored at least 25 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., February, 2025

2024

Causality for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression.

[BibT_eX]

[DOI]

CoRR, 2024

Causal Inference with Complex Treatments: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Discrete Latent Variable Structures with Tensor Rank Conditions.

[BibT_eX]

[DOI]

CoRR, 2024

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Causal Relations from Subsampled Time Series with Two Time-Slices.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2023

Learning Decomposed Representations for Treatment Effect Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2023

Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series.

[BibT_eX]

[DOI]

CoRR, 2023

Stable Estimation of Heterogeneous Treatment Effects.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

Instrumental Variables in Causal Inference and Machine Learning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

Confounder Balancing for Instrumental Variable Regression with Latent Variable.

[BibT_eX]

[DOI]

CoRR, 2022

Treatment Effect Estimation with Unmeasured Confounders in Data Fusion.

[BibT_eX]

[DOI]

CoRR, 2022

Estimating Individualized Causal Effect with Confounded Instruments.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Instrumental Variable Regression with Confounder Balancing.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Learning Decomposed Representation for Counterfactual Inference.

[BibT_eX]

[DOI]

CoRR, 2020

Anpeng Wu

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