Cover Image

Identification and Estimation under Multiple Versions of Treatment: Mixture-of-Experts Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yoshikawa, Kohei, Kawano, Shuichi
Format:	Preprint
Published:	2026
Subjects:	Methodology Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-task learning via robust regularized clustering with non-convex group penalties
by: Okazaki, Akira, et al.
Published: (2024)

EM Approaches to Nonparametric Estimation for Mixture of Linear Regressions
by: Welbaum, Andrew, et al.
Published: (2025)

Varying-Coefficient Mixture of Experts Model
by: Zhao, Qicheng, et al.
Published: (2026)

SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification
by: Lee, Seungyeon, et al.
Published: (2024)

Fast Training of Mixture-of-Experts for Time Series Forecasting via Expert Loss Integration
by: Mahtout, Btissame El, et al.
Published: (2026)

Estimating Treatment Effects under Algorithmic Interference: A Structured Neural Networks Approach
by: Zhan, Ruohan, et al.
Published: (2024)

Incorporating Expert Knowledge into Bayesian Causal Discovery of Mixtures of Directed Acyclic Graphs
by: Björkman, Zachris, et al.
Published: (2025)

M$^3$TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment Network for Uplift Modeling
by: Sun, Zexu, et al.
Published: (2024)

A New Causal Rule Learning Approach to Interpretable Estimation of Heterogeneous Treatment Effect
by: Wu, Ying, et al.
Published: (2023)

Neural Networks with Causal Graph Constraints: A New Approach for Treatment Effects Estimation
by: Pros, Roger, et al.
Published: (2024)

Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index
by: Athey, Susan, et al.
Published: (2016)

Estimation of Optimal Dynamic Treatment Assignment Rules under Policy Constraints
by: Sakaguchi, Shosei
Published: (2021)

Sequential Treatment Effect Estimation with Unmeasured Confounders
by: Wang, Yingrong, et al.
Published: (2025)

Accounting for Missing Covariates in Heterogeneous Treatment Estimation
by: Yamin, Khurram, et al.
Published: (2024)

Weighting-Based Identification and Estimation in Graphical Models of Missing Data
by: Guo, Anna, et al.
Published: (2026)

Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments
by: Xie, Feng, et al.
Published: (2024)

Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
by: Neopane, Ojash, et al.
Published: (2025)

Staged Event Trees for Transparent Treatment Effect Estimation
by: Varando, Gherardo, et al.
Published: (2025)

Considerations for Estimating Causal Effects of Informatively Timed Treatments
by: Oganisian, Arman
Published: (2025)

Ablation Studies for Novel Treatment Effect Estimation Models
by: Souto, Hugo Gobato, et al.
Published: (2024)

Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
by: Liang, Zhongyuan, et al.
Published: (2025)

DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
by: Wu, Yinjun, et al.
Published: (2024)

Identification of Average Treatment Effects in Nonparametric Panel Models
by: Athey, Susan, et al.
Published: (2025)

Low-Complexity and Consistent Graphon Estimation from Multiple Networks
by: Sogan, Roland Boniface, et al.
Published: (2026)

Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data
by: Fisher, Zachary F., et al.
Published: (2020)

Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
by: Wilkins-Reeves, Steven, et al.
Published: (2024)

Causal Representation Learning with Optimal Compression under Complex Treatments
by: Liang, Wanting, et al.
Published: (2026)

StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables
by: Morin, Sacha, et al.
Published: (2023)

Simultaneous Modeling of Disease Screening and Severity Prediction: A Multi-task and Sparse Regularization Approach
by: Harada, Kazuharu, et al.
Published: (2023)

Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data
by: Zhang, Yi, et al.
Published: (2024)

Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation
by: Chauhan, Vinod Kumar, et al.
Published: (2023)

Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
by: Oprescu, Miruna, et al.
Published: (2024)

What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?
by: Dandl, Susanne, et al.
Published: (2022)

Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
by: Park, Sihyung, et al.
Published: (2025)

Better Locally Private Sparse Estimation Given Multiple Samples Per User
by: Ma, Yuheng, et al.
Published: (2024)

Estimating Dyadic Treatment Effects with Unknown Confounders
by: Hoshino, Tadao, et al.
Published: (2024)

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

Estimation of heterogeneous principal effects under principal ignorability
by: Zhang, Rui, et al.
Published: (2026)

Qini Curve Estimation under Clustered Network Interference
by: Karlsson, Rickard, et al.
Published: (2025)

DFW: A Novel Weighting Scheme for Covariate Balancing and Treatment Effect Estimation
by: Khan, Ahmad Saeed, et al.
Published: (2025)