Cover Image

Bias-Targeted Nonparametric Balancing for Stable Causal Mediation Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Chang, Ghassami, AmirEmad
Format:	Preprint
Published:	2024
Subjects:	Methodology Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Causal Imitation Learning Under Measurement Error and Distribution Shift
by: Bo, Shi, et al.
Published: (2026)

Model-Robust Direct Effect Under Confounder-Mediator Ambiguity
by: Ghassami, AmirEmad
Published: (2026)

Partial Identification of Causal Effects Using Proxy Variables
by: Ghassami, AmirEmad, et al.
Published: (2023)

A Sensitivity Analysis Framework for Causal Inference Under Interference
by: Ortyashov, Matvey, et al.
Published: (2025)

Debiased Ill-Posed Regression
by: Ghassami, AmirEmad, et al.
Published: (2025)

Causal Discovery in Structural VAR Models Under Equal Noise Variance
by: HasanAbadi, SeyedSina Seyedi, et al.
Published: (2026)

Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
by: Ghassami, AmirEmad, et al.
Published: (2022)

Multiply Robust Causal Mediation Analysis with Continuous Treatments
by: Xu, Yizhen, et al.
Published: (2021)

A Debiased Estimator for the Mediation Functional in Ultra-High-Dimensional Setting in the Presence of Interaction Effects
by: Bo, Shi, et al.
Published: (2024)

Semiparametric Triple Difference Estimators
by: Akbari, Sina, et al.
Published: (2025)

Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
by: Wang, Zixiao, et al.
Published: (2023)

Causal Data Fusion for Panel Data without a Pre-Intervention Period
by: Yang, Zou, et al.
Published: (2024)

A General Identification Algorithm For Data Fusion Problems Under Systematic Selection
by: Lee, Jaron J. R., et al.
Published: (2024)

Causal Discovery in Linear Models with Unobserved Variables and Measurement Error
by: Yang, Yuqin, et al.
Published: (2024)

A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects
by: Pham, Khiem, et al.
Published: (2023)

Sequential Transport for Causal Mediation Analysis
by: Machado, Agathe Fernandes, et al.
Published: (2026)

Flexible Nonparametric Inference for Causal Effects under the Front-Door Model
by: Guo, Anna, et al.
Published: (2023)

Causal Mediation Analysis with Multiple Mediators: A Simulation Approach
by: Zhou, Jesse, et al.
Published: (2025)

Stable Differentiable Causal Discovery
by: Nazaret, Achille, et al.
Published: (2023)

Coarsening Bias from Variable Discretization in Causal Functionals
by: Ou, Xiaxian, et al.
Published: (2026)

Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
by: Ter-Minassian, Lucile, et al.
Published: (2024)

Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding
by: Hafer, Marlies, et al.
Published: (2025)

Local Interference: Removing Interference Bias in Semi-Parametric Causal Models
by: O'Riordan, Michael, et al.
Published: (2025)

Nonparametric learning of heterogeneous graphical model on network-linked data
by: Wang, Yuwen, et al.
Published: (2025)

Nonparametric estimation of Hawkes processes with RKHSs
by: Bonnet, Anna, et al.
Published: (2024)

Stable Causal Discovery via Directed Acyclic Graph Aggregation
by: Wu, Yunan, et al.
Published: (2026)

Nonparametric Linear Discriminant Analysis for High Dimensional Matrix-Valued Data
by: Oh, Seungyeon, et al.
Published: (2025)

Guardrailed Uplift Targeting: A Causal Optimization Playbook for Marketing Strategy
by: Sapru, Deepit
Published: (2025)

Nonparametric Regression Discontinuity Designs with Survival Outcomes
by: Schuessler, Maximilian, et al.
Published: (2026)

High-dimensional Nonparametric Contextual Bandit Problem
by: Iwazaki, Shogo, et al.
Published: (2025)

Nonparametric Identification and Inference for Counterfactual Distributions with Confounding
by: Sun, Jianle, et al.
Published: (2026)

Differentially Private Covariate Balancing Causal Inference
by: Ohnishi, Yuki, et al.
Published: (2024)

Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes
by: Wu, Bohan, et al.
Published: (2024)

Locally Private Nonparametric Contextual Multi-armed Bandits
by: Ma, Yuheng, et al.
Published: (2025)

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

PCM Selector: Penalized Covariate-Mediator Selection Operator for Evaluating Linear Causal Effects
by: Nanmo, Hisayoshi, et al.
Published: (2024)

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

Nonparametric estimation of time-varying network connections by multi-stage smoothing
by: Lee, Jeonghwan, et al.
Published: (2026)

TRIP: A Nonparametric Test to Diagnose Biased Feature Importance Scores
by: Foote, Aaron, et al.
Published: (2025)

Towards a holistic understanding of Selection Bias for Causal Effect Identification
by: Qiu, Yiwen, et al.
Published: (2026)