Cover Image

Optimal Transport for Treatment Effect Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Hao, Chen, Zhichao, Fan, Jiajun, Li, Haoxuan, Liu, Tianqiao, Liu, Weiming, Dai, Quanyu, Wang, Yichao, Dong, Zhenhua, Tang, Ruiming
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FreDF: Learning to Forecast in the Frequency Domain
by: Wang, Hao, et al.
Published: (2024)

Safe and Interpretable Estimation of Optimal Treatment Regimes
by: Parikh, Harsh, et al.
Published: (2023)

Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning
by: Sun, Haixiang, et al.
Published: (2026)

Improving the Estimation of Lifetime Effects in A/B Testing via Treatment Locality
by: Chen, Shuze, et al.
Published: (2024)

Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective
by: Chen, Zhichao, et al.
Published: (2026)

Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects
by: Wang, Hao, et al.
Published: (2026)

Anisotropic local law for non-separable sample covariance matrices
by: Fan, Zhou, et al.
Published: (2026)

Structured Matching via Cost-Regularized Unbalanced Optimal Transport
by: Pardini, Emanuele, et al.
Published: (2025)

On Model-Based Clustering With Entropic Optimal Transport
by: Mena, Gonzalo
Published: (2026)

Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation
by: Wang, Hao, et al.
Published: (2024)

Double Machine Learning Methods for Estimating Average Treatment Effects: A Comparative Study
by: Tan, Xiaoqing, et al.
Published: (2022)

Diabetes Lifestyle Medicine Treatment Assistance Using Reinforcement Learning
by: Tang, Yuhan
Published: (2025)

From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies
by: Gutman, Rom, et al.
Published: (2025)

Efficient Generative Modeling via Penalized Optimal Transport Network
by: Lu, Wenhui Sophia, et al.
Published: (2024)

I See, Therefore I Do: Estimating Causal Effects for Image Treatments
by: Thorat, Abhinav, et al.
Published: (2024)

A Large Scale Heterogeneous Treatment Effect Estimation Framework and Its Applications of Users' Journey at Snap
by: Pan, Jing, et al.
Published: (2025)

Leveraging Optimal Transport for Distributed Two-Sample Testing: An Integrated Transportation Distance-based Framework
by: Lin, Zhengqi, et al.
Published: (2025)

FSRF: Factorization-guided Semantic Recovery for Incomplete Multimodal Sentiment Analysis
by: Liu, Ziyang, et al.
Published: (2025)

Advancing Causal Inference: A Nonparametric Approach to ATE and CATE Estimation with Continuous Treatments
by: Souto, Hugo Gobato, et al.
Published: (2024)

Instrumental Variable Estimation for Compositional Treatments
by: Ailer, Elisabeth, et al.
Published: (2021)

Traffic State Estimation from Vehicle Trajectories with Anisotropic Gaussian Processes
by: Wu, Fan, et al.
Published: (2023)

Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates
by: Hou, Jue, et al.
Published: (2019)

Intelligent Diagnosis of Alzheimer's Disease Based on Machine Learning
by: Li, Mingyang, et al.
Published: (2024)

Optimal Transport for Latent Integration with An Application to Heterogeneous Neuronal Activity Data
by: Yuan, Yubai, et al.
Published: (2024)

Implicit Generative Prior for Bayesian Neural Networks
by: Liu, Yijia, et al.
Published: (2024)

Confidence Adjusted Surprise Measure for Active Resourceful Trials (CA-SMART): A Data-driven Active Learning Framework for Accelerating Material Discovery under Resource Constraints
by: Raihan, Ahmed Shoyeb, et al.
Published: (2025)

Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons
by: Chang, Peter, et al.
Published: (2024)

Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures
by: Nguyen, Khai, et al.
Published: (2024)

Fusing Individualized Treatment Rules Using Secondary Outcomes
by: Gao, Daiqi, et al.
Published: (2024)

Estimations of the Local Conditional Tail Average Treatment Effect
by: Chen, Le-Yu, et al.
Published: (2021)

A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
by: Fisher, Jared D., et al.
Published: (2024)

Invariant Feature Extraction Through Conditional Independence and the Optimal Transport Barycenter Problem: the Gaussian case
by: Bounos, Ian, et al.
Published: (2025)

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
by: Wang, Yingrong, et al.
Published: (2024)

Feature Augmentations for High-Dimensional Learning
by: Zhu, Xiaonan, et al.
Published: (2025)

Estimating link level traffic emissions: enhancing MOVES with open-source data
by: Wang, Lijiao, et al.
Published: (2025)

Curious Causality-Seeking Agents Learn Meta Causal World
by: Zhao, Zhiyu, et al.
Published: (2025)

A Copula Graphical Model for Multi-Attribute Data using Optimal Transport
by: Zhang, Qi, et al.
Published: (2024)

Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
by: Imai, Kosuke, et al.
Published: (2022)

Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models
by: Tong, Ran, et al.
Published: (2025)

BuildSTG: A Multi-building Energy Load Forecasting Method using Spatio-Temporal Graph Neural Network
by: Liu, Yongzheng, et al.
Published: (2025)