Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
Fuente:
arXiv
Saved in:
| Main Authors: | Wen, Hechuan, Chen, Tong, Gong, Mingming, Chai, Li Kheng, Sadiq, Shazia, Yin, Hongzhi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation
by: Wen, Hechuan, et al.
Published: (2024)
by: Wen, Hechuan, et al.
Published: (2024)
Learning A Universal Crime Predictor with Knowledge-guided Hypernetworks
by: Karimova, Fidan, et al.
Published: (2025)
by: Karimova, Fidan, et al.
Published: (2025)
Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection
by: Tran, Hung Vinh, et al.
Published: (2026)
by: Tran, Hung Vinh, et al.
Published: (2026)
Fairness without Sensitive Attributes via Knowledge Sharing
by: Ni, Hongliang, et al.
Published: (2024)
by: Ni, Hongliang, et al.
Published: (2024)
Self-Distilled Disentangled Learning for Counterfactual Prediction
by: Li, Xinshu, et al.
Published: (2024)
by: Li, Xinshu, et al.
Published: (2024)
Why Prompt Optimization Works, and Why It Sometimes Doesn't: A Causal-Inspired Edit-Level Analysis
by: Gong, Shuzhi, et al.
Published: (2026)
by: Gong, Shuzhi, et al.
Published: (2026)
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
by: Wang, Zongwei, et al.
Published: (2023)
by: Wang, Zongwei, et al.
Published: (2023)
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
by: Shi, Pengfei, et al.
Published: (2024)
by: Shi, Pengfei, et al.
Published: (2024)
Physics-guided Active Sample Reweighting for Urban Flow Prediction
by: Jiang, Wei, et al.
Published: (2024)
by: Jiang, Wei, et al.
Published: (2024)
EMIT- Event-Based Masked Auto Encoding for Irregular Time Series
by: Patel, Hrishikesh, et al.
Published: (2024)
by: Patel, Hrishikesh, et al.
Published: (2024)
Estimating the Effects of Sample Training Orders for Large Language Models without Retraining
by: Yang, Hao, et al.
Published: (2025)
by: Yang, Hao, et al.
Published: (2025)
Graph Condensation for Open-World Graph Learning
by: Gao, Xinyi, et al.
Published: (2024)
by: Gao, Xinyi, et al.
Published: (2024)
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning
by: Gao, Xinyi, et al.
Published: (2024)
by: Gao, Xinyi, et al.
Published: (2024)
Estimating Heterogeneous Treatment Effects on Survival Outcomes Using Counterfactual Censoring Unbiased Transformations
by: Xu, Shenbo, et al.
Published: (2024)
by: Xu, Shenbo, et al.
Published: (2024)
CAETC: Causal Autoencoding and Treatment Conditioning for Counterfactual Estimation over Time
by: Nguyen, Nghia D., et al.
Published: (2026)
by: Nguyen, Nghia D., et al.
Published: (2026)
Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation
by: Chen, Yikang, et al.
Published: (2024)
by: Chen, Yikang, et al.
Published: (2024)
Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data
by: Yin, Xiaohui, et al.
Published: (2026)
by: Yin, Xiaohui, et al.
Published: (2026)
Projection Pursuit Density Ratio Estimation
by: Wang, Meilin, et al.
Published: (2025)
by: Wang, Meilin, et al.
Published: (2025)
Federated Learning for Estimating Heterogeneous Treatment Effects
by: Makhija, Disha, et al.
Published: (2024)
by: Makhija, Disha, et al.
Published: (2024)
Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood
by: Ouyang, Jiangrong, et al.
Published: (2026)
by: Ouyang, Jiangrong, et al.
Published: (2026)
DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data
by: Ghosh, Shantanu, et al.
Published: (2023)
by: Ghosh, Shantanu, et al.
Published: (2023)
On-device Content-based Recommendation with Single-shot Embedding Pruning: A Cooperative Game Perspective
by: Tran, Hung Vinh, et al.
Published: (2024)
by: Tran, Hung Vinh, et al.
Published: (2024)
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices
by: Kato, Masahiro, et al.
Published: (2024)
by: Kato, Masahiro, et al.
Published: (2024)
Counterfactual Generative Models for Time-Varying Treatments
by: Wu, Shenghao, et al.
Published: (2023)
by: Wu, Shenghao, et al.
Published: (2023)
Disentangled Graph Autoencoder for Treatment Effect Estimation
by: Fan, Di, et al.
Published: (2024)
by: Fan, Di, et al.
Published: (2024)
A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data
by: Ghosheh, Ghadeer O., et al.
Published: (2024)
by: Ghosheh, Ghadeer O., et al.
Published: (2024)
A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding
by: Zhou, Chuan, et al.
Published: (2025)
by: Zhou, Chuan, et al.
Published: (2025)
Optimal Transport for Treatment Effect Estimation
by: Wang, Hao, et al.
Published: (2023)
by: Wang, Hao, et al.
Published: (2023)
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation
by: Yin, Changchang, et al.
Published: (2025)
by: Yin, Changchang, et al.
Published: (2025)
COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning
by: Meng, Chuizheng, et al.
Published: (2023)
by: Meng, Chuizheng, et al.
Published: (2023)
Training-free Heterogeneous Graph Condensation via Data Selection
by: Liang, Yuxuan, et al.
Published: (2024)
by: Liang, Yuxuan, et al.
Published: (2024)
RobGC: Towards Robust Graph Condensation
by: Gao, Xinyi, et al.
Published: (2024)
by: Gao, Xinyi, et al.
Published: (2024)
Relational Database Distillation: From Structured Tables to Condensed Graph Data
by: Gao, Xinyi, et al.
Published: (2025)
by: Gao, Xinyi, et al.
Published: (2025)
Counterfactually Safe Reinforcement Learning
by: Li, Jingyi, et al.
Published: (2026)
by: Li, Jingyi, et al.
Published: (2026)
CFLight: Enhancing Safety with Traffic Signal Control through Counterfactual Learning
by: Li, Mingyuan, et al.
Published: (2025)
by: Li, Mingyuan, et al.
Published: (2025)
Malliavin Calculus for Counterfactual Gradient Estimation in Adaptive Inverse Reinforcement Learning
by: Krishnamurthy, Vikram, et al.
Published: (2026)
by: Krishnamurthy, Vikram, et al.
Published: (2026)
Conditional Counterfactual Mean Embeddings: Doubly Robust Estimation and Learning Rates
by: Anancharoenkij, Thatchanon, et al.
Published: (2026)
by: Anancharoenkij, Thatchanon, et al.
Published: (2026)
Semi-Supervised Learning under General Causal Models
by: Moore, Archer, et al.
Published: (2025)
by: Moore, Archer, et al.
Published: (2025)
A Scalable Algorithm for Active Learning
by: Chen, Youguang, et al.
Published: (2024)
by: Chen, Youguang, et al.
Published: (2024)
Similar Items
-
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation
by: Wen, Hechuan, et al.
Published: (2024) -
Learning A Universal Crime Predictor with Knowledge-guided Hypernetworks
by: Karimova, Fidan, et al.
Published: (2025) -
Efficient Content-based Recommendation Model Training via Noise-aware Coreset Selection
by: Tran, Hung Vinh, et al.
Published: (2026) -
Fairness without Sensitive Attributes via Knowledge Sharing
by: Ni, Hongliang, et al.
Published: (2024) -
Self-Distilled Disentangled Learning for Counterfactual Prediction
by: Li, Xinshu, et al.
Published: (2024)