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Anpeng Wu

14 papers at tracked venues · 14 at CORE A* · active 2024–2026

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Venues

ICML ×7AAAI ×2SIGKDD ×2ICDE ×1ICLR ×1NeurIPS ×1

Frequent coauthors

Baohong Li
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Minqin Zhu
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Yi He
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Chunyuan Zheng
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Zexu Sun
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Zhengming Chen
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Yuling Zhang
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Papers

  1. Continuous-Time Counterfactual Quantile Learning for Risk-Sensitive Policy Optimization
    SIGKDD 2026 ·
    Yi He
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  2. Uplift Modeling with Delayed Feedback: Identifiability and Algorithms
    AAAI 2026 ·
    Chunyuan Zheng
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  3. Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
    ICLR 2025 · Anpeng Wu
  4. Classifying Treatment Responders: Bounds and Algorithms
    SIGKDD 2025 · Anpeng Wu
  5. Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments
    ICML 2025 ·
    Baohong Li
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  6. Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency
    ICML 2025 ·
    Zexu Sun
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  7. Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation
    ICML 2025 ·
    Minqin Zhu
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  8. A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
    ICML 2024 ·
    Baohong Li
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  9. Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
    AAAI 2024 ·
    Minqin Zhu
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  10. Learning Causal Relations from Subsampled Time Series with Two Time-Slices
    ICML 2024 · Anpeng Wu
  11. Learning Discrete Latent Variable Structures with Tensor Rank Conditions
    NeurIPS 2024 ·
    Zhengming Chen
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  12. Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
    ICML 2024 ·
    Baohong Li
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  13. Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations
    ICDE 2024 ·
    Yuling Zhang
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  14. Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias
    ICML 2024 ·
    Baohong Li
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