Cover Image

Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Hongyu, Simchi-Levi, David, Xiong, Ruoxuan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Econometrics Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Data Fusion for Partial Identification of Causal Effects
by: Lanners, Quinn, et al.
Published: (2025)

Data-Driven Switchback Experiments: Theoretical Tradeoffs and Empirical Bayes Designs
by: Xiong, Ruoxuan, et al.
Published: (2024)

Can We Validate Counterfactual Estimations in the Presence of General Network Interference?
by: Shirani, Sadegh, et al.
Published: (2025)

Prediction-Guided Active Experiments
by: Ao, Ruicheng, et al.
Published: (2024)

Identification and Debiased Learning of Causal Effects with General Instrumental Variables
by: Chen, Shuyuan, et al.
Published: (2025)

Double Machine Learning for Static Panel Data with Instrumental Variables: New Method and Applications
by: Baiardi, Anna, et al.
Published: (2026)

Estimating Wage Disparities Using Foundation Models
by: Vafa, Keyon, et al.
Published: (2024)

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

Spatially Robust Inference with Predicted and Missing at Random Labels
by: Salerno, Stephen, et al.
Published: (2026)

Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
by: Qu, Zhaonan, et al.
Published: (2021)

Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits
by: Zhan, Ruohan, et al.
Published: (2021)

Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach
by: Yan, Yuling, et al.
Published: (2024)

Partial Identification of Individual-Level Parameters Using Aggregate Data in a Nonparametric Model
by: Moon, Sarah
Published: (2024)

Identification and estimation for matrix time series CP-factor models
by: Chang, Jinyuan, et al.
Published: (2024)

Robust Inference Methods for Latent Group Panel Models under Possible Group Non-Separation
by: Akgun, Oguzhan, et al.
Published: (2025)

Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models
by: Zhou, Guanhao, et al.
Published: (2025)

Effect Identification and Unit Categorization in the Multi-Score Regression Discontinuity Design with Application to LED Manufacturing
by: Schwarz, Philipp Alexander, et al.
Published: (2025)

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

Learning from Double Positive and Unlabeled Data for Potential-Customer Identification
by: Kato, Masahiro, et al.
Published: (2025)

xtdml: Double Machine Learning Estimation to Static Panel Data Models with Fixed Effects in R
by: Polselli, Annalivia
Published: (2025)

Individualized Policy Evaluation and Learning under Clustered Network Interference
by: Zhang, Yi, et al.
Published: (2023)

Adaptive, Rate-Optimal Hypothesis Testing in Nonparametric IV Models
by: Breunig, Christoph, et al.
Published: (2020)

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

PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization
by: Ao, Ruicheng, et al.
Published: (2026)

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

Improved Inference for CSDID Using the Cluster Jackknife
by: Karim, Sunny R., et al.
Published: (2026)

Mining Causality: AI-Assisted Search for Instrumental Variables
by: Han, Sukjin
Published: (2024)

Data-Automated Policy Learning for Nonlinear Welfare
by: Ai, Chunrong, et al.
Published: (2026)

Partial Identification of Policy-Relevant Treatment Effects with Instrumental Variables via Optimal Transport
by: Tan, Jiyuan, et al.
Published: (2026)

Latent Variable Estimation in Bayesian Black-Litterman Models
by: Lin, Thomas Y. L., et al.
Published: (2025)

A Causal Inference Framework for Data Rich Environments
by: Abadie, Alberto, et al.
Published: (2025)

Adaptive Principal Component Regression with Applications to Panel Data
by: Agarwal, Anish, et al.
Published: (2023)

Estimation and Inference for Causal Functions with Multiway Clustered Data
by: Liu, Nan, et al.
Published: (2024)

Identifying Elasticities in Autocorrelated Time Series Using Causal Graphs
by: Tiedemann, Silvana, et al.
Published: (2024)

Model-Based Inference and Experimental Design for Interference Using Partial Network Data
by: Reeves, Steven Wilkins, et al.
Published: (2024)

Double Machine Learning meets Panel Data -- Promises, Pitfalls, and Potential Solutions
by: Fuhr, Jonathan, et al.
Published: (2024)

Long-term Causal Inference Under Persistent Confounding via Data Combination
by: Imbens, Guido, et al.
Published: (2022)

Cross-Validated Causal Inference: a Modern Method to Combine Experimental and Observational Data
by: Yang, Xuelin, et al.
Published: (2025)

Tackling Interference Induced by Data Training Loops in A/B Tests: A Weighted Training Approach
by: Si, Nian
Published: (2023)