Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders.
IEEE Trans. Knowl. Data Eng., February, 2025
General Information Metrics for Improving AI Model Training Efficiency.
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CoRR, January, 2025
Classifying Treatment Responders: Bounds and Algorithms.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Causality for Large Language Models.
CoRR, 2024
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression.
CoRR, 2024
Causal Inference with Complex Treatments: A Survey.
CoRR, 2024
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects.
CoRR, 2024
Learning Discrete Latent Variable Structures with Tensor Rank Conditions.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Learning Causal Relations from Subsampled Time Series with Two Time-Slices.
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.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias.
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.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation.
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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI.
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IEEE Trans. Knowl. Data Eng., July, 2023
Learning Decomposed Representations for Treatment Effect Estimation.
IEEE Trans. Knowl. Data Eng., May, 2023
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series.
CoRR, 2023
Stable Estimation of Heterogeneous Treatment Effects.
Proceedings of the International Conference on Machine Learning, 2023
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition.
ACM Trans. Knowl. Discov. Data, 2022
Instrumental Variables in Causal Inference and Machine Learning: A Survey.
CoRR, 2022
Confounder Balancing for Instrumental Variable Regression with Latent Variable.
CoRR, 2022
Treatment Effect Estimation with Unmeasured Confounders in Data Fusion.
CoRR, 2022
Estimating Individualized Causal Effect with Confounded Instruments.
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.
Proceedings of the International Conference on Machine Learning, 2022
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey.
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CoRR, 2021
Learning Decomposed Representation for Counterfactual Inference.
CoRR, 2020