Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Zeqin, Chen, Weilin, Cai, Ruichu, Yan, Yuguang, Hao, Zhifeng, Yu, Zhipeng, Zou, Zhichao, Xu, Jixing, Peng, Zhen, Guo, Jiecheng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
by: Cai, Ruichu, et al.
Published: (2025)
by: Cai, Ruichu, et al.
Published: (2025)
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination
by: Chen, Weilin, et al.
Published: (2025)
by: Chen, Weilin, et al.
Published: (2025)
Targeted Regularization for Causal Effect Estimation with Exponential Dispersion Family Outcomes
by: Li, Jiahong, et al.
Published: (2025)
by: Li, Jiahong, et al.
Published: (2025)
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
by: Chen, Weilin, et al.
Published: (2024)
by: Chen, Weilin, et al.
Published: (2024)
Long-term Causal Inference via Modeling Sequential Latent Confounding
by: Chen, Weilin, et al.
Published: (2025)
by: Chen, Weilin, et al.
Published: (2025)
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
by: Zhu, Minqin, et al.
Published: (2024)
by: Zhu, Minqin, et al.
Published: (2024)
Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption
by: Chen, Weilin, et al.
Published: (2025)
by: Chen, Weilin, et al.
Published: (2025)
Feasible Fusion: Constrained Joint Estimation under Structural Non-Overlap
by: Du, Yuxi, et al.
Published: (2026)
by: Du, Yuxi, et al.
Published: (2026)
Debiased Model-based Interactive Recommendation
by: Li, Zijian, et al.
Published: (2024)
by: Li, Zijian, et al.
Published: (2024)
Text-to-SQL as Dual-State Reasoning: Integrating Adaptive Context and Progressive Generation
by: Hao, Zhifeng, et al.
Published: (2025)
by: Hao, Zhifeng, et al.
Published: (2025)
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
by: Liu, Yuequn, et al.
Published: (2023)
by: Liu, Yuequn, et al.
Published: (2023)
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach
by: Cai, Ruichu, et al.
Published: (2022)
by: Cai, Ruichu, et al.
Published: (2022)
Temporal Smoothness Doubly Robust Learning for Debiased Knowledge Tracing
by: Zhan, Peilin, et al.
Published: (2026)
by: Zhan, Peilin, et al.
Published: (2026)
DFF: Decision-Focused Fine-tuning for Smarter Predict-then-Optimize with Limited Data
by: Yang, Jiaqi, et al.
Published: (2025)
by: Yang, Jiaqi, et al.
Published: (2025)
Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants
by: Chen, Wei, et al.
Published: (2025)
by: Chen, Wei, et al.
Published: (2025)
SAM-NER: Semantic Archetype Mediation for Zero-Shot Named Entity Recognition
by: Cai, Ruichu, et al.
Published: (2026)
by: Cai, Ruichu, et al.
Published: (2026)
Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences
by: Cai, Ruichu, et al.
Published: (2025)
by: Cai, Ruichu, et al.
Published: (2025)
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
by: Qiao, Jie, et al.
Published: (2024)
by: Qiao, Jie, et al.
Published: (2024)
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals
by: Cai, Ruichu, et al.
Published: (2024)
by: Cai, Ruichu, et al.
Published: (2024)
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
by: Cai, Ruichu, et al.
Published: (2025)
by: Cai, Ruichu, et al.
Published: (2025)
Optimal Transport for Treatment Effect Estimation
by: Wang, Hao, et al.
Published: (2023)
by: Wang, Hao, et al.
Published: (2023)
Identification of Causal Direction under an Arbitrary Number of Latent Confounders
by: Chen, Wei, et al.
Published: (2025)
by: Chen, Wei, et al.
Published: (2025)
Acute Paraplegia Result from Spinal Ischemia Nine Years After Hybrid Total Arch Repair with Frozen Elephant Trunk: A Case Report
by: Zeqin Xu
Published: (2023)
by: Zeqin Xu
Published: (2023)
S$^2$GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis
by: Chen, Bingfeng, et al.
Published: (2024)
by: Chen, Bingfeng, et al.
Published: (2024)
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
by: Cai, Ruichu, et al.
Published: (2023)
by: Cai, Ruichu, et al.
Published: (2023)
$\mathcal{S}^2$IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction
by: Chen, Bingfeng, et al.
Published: (2026)
by: Chen, Bingfeng, et al.
Published: (2026)
Track-SQL: Enhancing Generative Language Models with Dual-Extractive Modules for Schema and Context Tracking in Multi-turn Text-to-SQL
by: Chen, Bingfeng, et al.
Published: (2026)
by: Chen, Bingfeng, et al.
Published: (2026)
Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
by: Haxholli, Etrit, et al.
Published: (2024)
by: Haxholli, Etrit, et al.
Published: (2024)
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
by: Wang, Yingrong, et al.
Published: (2024)
by: Wang, Yingrong, et al.
Published: (2024)
Distributional Treatment Effect Estimation across Heterogeneous Sites via Optimal Transport
by: Bateni, Borna, et al.
Published: (2025)
by: Bateni, Borna, et al.
Published: (2025)
WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
by: Lu, Jiecheng, et al.
Published: (2024)
by: Lu, Jiecheng, et al.
Published: (2024)
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
by: Chen, Xuexin, et al.
Published: (2024)
by: Chen, Xuexin, et al.
Published: (2024)
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
by: Cai, Ruichu, et al.
Published: (2025)
by: Cai, Ruichu, et al.
Published: (2025)
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
by: Chen, Xuexin, et al.
Published: (2024)
by: Chen, Xuexin, et al.
Published: (2024)
CMCTS: A Constrained Monte Carlo Tree Search Framework for Mathematical Reasoning in Large Language Model
by: Lin, Qingwen, et al.
Published: (2025)
by: Lin, Qingwen, et al.
Published: (2025)
Informing the Borrowing Process for Dose‐Finding Trials by Estimating the Similarity Between Population‐Specific Dose‐Toxicity Curves
by: Dario Zocholl, et al.
Published: (2025)
by: Dario Zocholl, et al.
Published: (2025)
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation
by: Lin, Weilin, et al.
Published: (2024)
by: Lin, Weilin, et al.
Published: (2024)
Optimal Transport with Heterogeneously Missing Data
by: Bleistein, Linus, et al.
Published: (2025)
by: Bleistein, Linus, et al.
Published: (2025)
CausalAgent: A Conversational Multi-Agent System for End-to-End Causal Inference
by: Zhu, Jiawei, et al.
Published: (2026)
by: Zhu, Jiawei, et al.
Published: (2026)
Regulating Transport Preferences of Fucosylated Sugars: Revealing Transport Mechanisms via Sugar Efflux Transporter A Transformation Into a “Tight‐in, Tight‐out” Mode
by: Liu Wenxian, et al.
Published: (2025)
by: Liu Wenxian, et al.
Published: (2025)
Similar Items
-
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
by: Cai, Ruichu, et al.
Published: (2025) -
Nonparametric Heterogeneous Long-term Causal Effect Estimation via Data Combination
by: Chen, Weilin, et al.
Published: (2025) -
Targeted Regularization for Causal Effect Estimation with Exponential Dispersion Family Outcomes
by: Li, Jiahong, et al.
Published: (2025) -
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
by: Chen, Weilin, et al.
Published: (2024) -
Long-term Causal Inference via Modeling Sequential Latent Confounding
by: Chen, Weilin, et al.
Published: (2025)