Cover Image

Counterfactual fairness for small subgroups

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wastvedt, Solvejg, Huling, Jared D, Wolfson, Julian
Format:	Preprint
Published:	2023
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Partially Retargeted Balancing Weights for Causal Effect Estimation Under Positivity Violations
by: Barnard, Martha, et al.
Published: (2025)

A Unified Framework for Causal Estimand Selection
by: Barnard, Martha, et al.
Published: (2024)

De-Biasing the Bias: Methods for Improving Disparity Assessments with Noisy Group Measurements
by: Wastvedt, Solvejg, et al.
Published: (2024)

Modified treatment policy effect estimation with weighted energy distance
by: Jiang, Ziren, et al.
Published: (2023)

Data adaptive covariate balancing for causal effect estimation for high dimensional data
by: De, Simion, et al.
Published: (2025)

Omitted-Variable Sensitivity Analysis for Generalizing Randomized Trials
by: Asiaee, Amir, et al.
Published: (2026)

Estimating causal effects of functional treatments with modified functional treatment policies
by: Jiang, Ziren, et al.
Published: (2026)

Improving RCT-Based CATE Estimation Under Covariate Mismatch via Double Calibration
by: Pal, Samhita, et al.
Published: (2026)

Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift
by: Asiaee, Amir, et al.
Published: (2026)

Heterogeneity-Aware Regression with Nonparametric Estimation and Structured Selection for Hospital Readmission Prediction
by: Wang, Wei, et al.
Published: (2025)

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

Exploring the effects of mechanical ventilator settings with modified vector-valued treatment policies
by: Jiang, Ziren, et al.
Published: (2025)

Multi-Study Causal Forest (MCF): A flexible framework for data borrowing in the presence of varying treatment effect heterogeneity
by: Venkatasubramaniam, Ashwini, et al.
Published: (2025)

Transportability of Principal Causal Effects
by: Clark, Justin M., et al.
Published: (2024)

Adjacency Matrix Decomposition Clustering for Human Activity Data
by: Barnard, Martha, et al.
Published: (2024)

Improving Precision of RCT-Based CATE Estimation using Data Borrowing with Double Calibration
by: Asiaee, Amir, et al.
Published: (2023)

Heterogeneous readmission prediction with hierarchical effect decomposition and regularization
by: Jiang, Ziren, et al.
Published: (2026)

Multinomial thresholded LASSO for interpretable dimension reduction of human activity sequences
by: Huang, Zuofu, et al.
Published: (2025)

Detecting critical treatment effect bias in small subgroups
by: De Bartolomeis, Piersilvio, et al.
Published: (2024)

Reliable fairness auditing with semi-supervised inference
by: Gao, Jianhui, et al.
Published: (2025)

Minority representation and fairness in network ranking: An application to school contact diary data
by: Shen, Hui, et al.
Published: (2025)

Identifying the desert decision rule to assess and achieve fairness
by: Zhang, Ping, et al.
Published: (2026)

Counterfactual Mean-variance Optimization
by: Kim, Kwangho, et al.
Published: (2022)

Neyman-Pearson and equal opportunity: when efficiency meets fairness in classification
by: Fan, Jianqing, et al.
Published: (2023)

DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations
by: Zhu, Jiageng, et al.
Published: (2024)

Quantifying fair income distribution in Thailand
by: Sitthiyot, Thitithep, et al.
Published: (2024)

Robust subgroup-classifier learning and testing in change-plane regressions
by: Liu, Xu, et al.
Published: (2024)

Semiparametric Counterfactual Regression
by: Kim, Kwangho
Published: (2025)

Federated fairness-aware classification under differential privacy
by: Xue, Gengyu, et al.
Published: (2026)

Counterfactual Density Estimation using Kernel Stein Discrepancies
by: Martinez-Taboada, Diego, et al.
Published: (2023)

Counterfactual Slopes and Their Applications in Social Stratification
by: Yu, Ang, et al.
Published: (2024)

Distilling heterogeneous treatment effects: Stable subgroup estimation in causal inference
by: Huang, Melody, et al.
Published: (2025)

Utilizing subgroup information in random-effects meta-analysis of few studies
by: Huang, Ao, et al.
Published: (2025)

Efficient estimation of subgroup treatment effects using multi-source data
by: Wang, Guanbo, et al.
Published: (2024)

Data-driven controlled subgroup selection in clinical trials
by: Müller, Manuel M., et al.
Published: (2025)

Selective randomization inference for subgroup effects with continuous biomarkers
by: Gao, Zijun
Published: (2025)

Probability of Root Cause: A Counterfactual Definition and Its Identification
by: Lu, Zitong, et al.
Published: (2026)

Bayesian Multinomial Logistic Regression for Numerous Categories
by: Fisher, Jared D., et al.
Published: (2022)

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes
by: Whittle, Rebecca, et al.
Published: (2025)

Supervised Bayesian joint graphical model for simultaneous network estimation and subgroup identification
by: Qin, Xing, et al.
Published: (2024)