Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Cai, Hengrui, Jin, Huaqing, Li, Lexin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Text Rationalization for Robust Causal Effect Estimation
by: Zhang, Lijinghua, et al.
Published: (2025)
by: Zhang, Lijinghua, et al.
Published: (2025)
Optimized Conformal Selection: Powerful Selective Inference After Conformity Score Optimization
by: Bai, Tian, et al.
Published: (2024)
by: Bai, Tian, et al.
Published: (2024)
Conformal Prediction for Causal Effects of Continuous Treatments
by: Schröder, Maresa, et al.
Published: (2024)
by: Schröder, Maresa, et al.
Published: (2024)
Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning
by: Cai, Hengrui, et al.
Published: (2023)
by: Cai, Hengrui, et al.
Published: (2023)
Defining Expertise: Applications to Treatment Effect Estimation
by: Hüyük, Alihan, et al.
Published: (2024)
by: Hüyük, Alihan, et al.
Published: (2024)
Data-Driven Estimation of Heterogeneous Treatment Effects
by: Tran, Christopher, et al.
Published: (2023)
by: Tran, Christopher, et al.
Published: (2023)
Locally Interpretable Individualized Treatment Rules for Black-Box Decision Models
by: Charvadeh, Yasin Khadem, et al.
Published: (2026)
by: Charvadeh, Yasin Khadem, et al.
Published: (2026)
CausalGuard: Conformal Inference under Graph Uncertainty
by: Singh, Vikash, et al.
Published: (2026)
by: Singh, Vikash, et al.
Published: (2026)
Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing
by: Sun, Rongyi, et al.
Published: (2026)
by: Sun, Rongyi, et al.
Published: (2026)
Compositional Models for Estimating Causal Effects
by: Pruthi, Purva, et al.
Published: (2024)
by: Pruthi, Purva, et al.
Published: (2024)
Estimating and Mitigating the Congestion Effect of Curbside Pick-ups and Drop-offs: A Causal Inference Approach
by: Liu, Xiaohui, et al.
Published: (2022)
by: Liu, Xiaohui, et al.
Published: (2022)
Black Box Causal Inference: Effect Estimation via Meta Prediction
by: Bynum, Lucius E. J., et al.
Published: (2025)
by: Bynum, Lucius E. J., et al.
Published: (2025)
Learning Individual Treatment Effects under Heterogeneous Interference in Networks
by: Zhao, Ziyu, et al.
Published: (2022)
by: Zhao, Ziyu, et al.
Published: (2022)
Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation
by: Mahajan, Divyat, et al.
Published: (2022)
by: Mahajan, Divyat, et al.
Published: (2022)
Multivariate Conformal Selection
by: Bai, Tian, et al.
Published: (2025)
by: Bai, Tian, et al.
Published: (2025)
De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network
by: Zhao, Yonghe, et al.
Published: (2023)
by: Zhao, Yonghe, et al.
Published: (2023)
Peer Effect Estimation in the Presence of Simultaneous Feedback and Unobserved Confounders
by: Du, Xiaojing, et al.
Published: (2025)
by: Du, Xiaojing, et al.
Published: (2025)
ConfHit: Conformal Generative Design with Oracle Free Guarantees
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
Length Optimization in Conformal Prediction
by: Kiyani, Shayan, et al.
Published: (2024)
by: Kiyani, Shayan, et al.
Published: (2024)
Time Series Treatment Effects Analysis with Always-Missing Controls
by: Shu, Juan, et al.
Published: (2025)
by: Shu, Juan, et al.
Published: (2025)
Optimizing Feature Selection in Causal Inference: A Three-Stage Computational Framework for Unbiased Estimation
by: Yang, Tianyu, et al.
Published: (2025)
by: Yang, Tianyu, et al.
Published: (2025)
Localized Conformal Multi-Quantile Regression
by: Lu, Yuan
Published: (2024)
by: Lu, Yuan
Published: (2024)
Censoring-Aware Tree-Based Reinforcement Learning for Estimating Dynamic Treatment Regimes with Censored Outcomes
by: Paul, Animesh Kumar, et al.
Published: (2025)
by: Paul, Animesh Kumar, et al.
Published: (2025)
Prediction Intervals for Individual Treatment Effects in a Multiple Decision Point Framework using Conformal Inference
by: Bose, Swaraj, et al.
Published: (2025)
by: Bose, Swaraj, et al.
Published: (2025)
The Estimation of Continual Causal Effect for Dataset Shifting Streams
by: Chen, Baining, et al.
Published: (2025)
by: Chen, Baining, et al.
Published: (2025)
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
by: Reddy, Abbavaram Gowtham, et al.
Published: (2022)
by: Reddy, Abbavaram Gowtham, et al.
Published: (2022)
Conformal Tradeoffs: Operational Profiles Beyond Coverage
by: Zwart, Petrus H.
Published: (2026)
by: Zwart, Petrus H.
Published: (2026)
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models
by: Komanduri, Aneesh, et al.
Published: (2024)
by: Komanduri, Aneesh, et al.
Published: (2024)
Counterfactual Probabilistic Diffusion with Expert Models
by: Mu, Wenhao, et al.
Published: (2025)
by: Mu, Wenhao, et al.
Published: (2025)
Towards Causal Foundation Model: on Duality between Causal Inference and Attention
by: Zhang, Jiaqi, et al.
Published: (2023)
by: Zhang, Jiaqi, et al.
Published: (2023)
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
by: Xie, Feng, et al.
Published: (2023)
by: Xie, Feng, et al.
Published: (2023)
Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores
by: Kaur, Jivat Neet, et al.
Published: (2025)
by: Kaur, Jivat Neet, et al.
Published: (2025)
A Two-Stage Feature Selection Approach for Robust Evaluation of Treatment Effects in High-Dimensional Observational Data
by: Islam, Md Saiful, et al.
Published: (2021)
by: Islam, Md Saiful, et al.
Published: (2021)
Generative Augmented Inference
by: Lu, Cheng, et al.
Published: (2026)
by: Lu, Cheng, et al.
Published: (2026)
A Critical Perspective on Finite Sample Conformal Prediction Theory in Medical Applications
by: Kladny, Klaus-Rudolf, et al.
Published: (2025)
by: Kladny, Klaus-Rudolf, et al.
Published: (2025)
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
by: Cui, Ziqiang, et al.
Published: (2024)
by: Cui, Ziqiang, et al.
Published: (2024)
AI-Powered Bayesian Inference
by: O'Hagan, Sean, et al.
Published: (2025)
by: O'Hagan, Sean, et al.
Published: (2025)
Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models
by: Guo, Xichen, et al.
Published: (2024)
by: Guo, Xichen, et al.
Published: (2024)
Marginal Causal Flows for Validation and Inference
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
by: Lemos, Pablo, et al.
Published: (2024)
by: Lemos, Pablo, et al.
Published: (2024)
Similar Items
-
Text Rationalization for Robust Causal Effect Estimation
by: Zhang, Lijinghua, et al.
Published: (2025) -
Optimized Conformal Selection: Powerful Selective Inference After Conformity Score Optimization
by: Bai, Tian, et al.
Published: (2024) -
Conformal Prediction for Causal Effects of Continuous Treatments
by: Schröder, Maresa, et al.
Published: (2024) -
Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning
by: Cai, Hengrui, et al.
Published: (2023) -
Defining Expertise: Applications to Treatment Effect Estimation
by: Hüyük, Alihan, et al.
Published: (2024)