Anpeng Wu
14 papers · 2022–2026 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏆 Keyword Champion (2)
🏆
Grand Slam
🤝
Dynamic Duo
(10)
⚡
Prolific Year
(6)
🔥
Unstoppable
(5)
💎
Century Club
(13)
Conferences
ICML (9)
AAAI (3)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
causal inference
(5)
treatment effect
(3)
instrumental variable
(2)
representation learning
(2)
treatment effect estimation
(2)
counterfactual regression
(2)
delayed feedback
(1)
instrumental variable regression
(1)
group instrumental variable
(1)
unmeasured confounder
(1)
causal machine learning
(1)
machine learning
(1)
discrete datum
(1)
observational datum
(1)
heterogeneous treatment effect
(1)
causal discovery
(1)
precision medicine
(1)
covariate balancing
(1)
potential outcome
(1)
contingency table
(1)
Papers
Uplift Modeling with Delayed Feedback: Identifiability and Algorithms
AAAI 2026
Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
ICLR 2025
Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation
ICML 2025
Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency
ICML 2025
Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments
ICML 2025
Learning Causal Relations from Subsampled Time Series with Two Time-Slices
ICML 2024
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
ICML 2024
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
AAAI 2024
A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
ICML 2024
Learning Discrete Latent Variable Structures with Tensor Rank Conditions
NIPS 2024
Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias
ICML 2024
Stable Estimation of Heterogeneous Treatment Effects
ICML 2023
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation
AAAI 2023
Instrumental Variable Regression with Confounder Balancing
ICML 2022