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Papers
Fundamental Limits and Optimal Methods for Sharp Analytical Causal Bounds in Instrumental Variable Models
UAI 2026
Improving TabPFN’s Synthetic Data Generation by Integrating Causal Structure
UAI 2026
Information-Theoretic Lower Bounds for Causal Inference under Credal Uncertainty
UAI 2026
Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift
CLeaR 2026
Variance reduction combining pre-experiment and in-experiment data
CLeaR 2026
Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration
UAI 2026
Automatic debiasing of neural networks via moment-constrained learning
CLeaR 2025
Causal Effect of Functional Treatment
JMLR 2025
Causal Inference amid Missingness-Specific Independences and Mechanism Shifts
UAI 2025
Compositional Causal Reasoning Evaluation in Language Models
ICML 2025
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets
ICLR 2025
DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data
JMLR 2025
Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response
JMLR 2025
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
AISTATS 2025
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect
AISTATS 2025
On Distributional Discrepancy for Experimental Design with General Assignment Probabilities
AISTATS 2025
Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
ICML 2025
Sampling Boundary for Causal Effect Estimation
ACML 2025
Stabilized Inverse Probability Weighting via Isotonic Calibration
CLeaR 2025
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation (Extended Abstract)
COLT 2025
What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness (Extended Abstract)
COLT 2025
Your Assumed DAG is Wrong And Here’s How To Deal With It
CLeaR 2025
A/B testing under Interference with Partial Network Information
AISTATS 2024
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
ICML 2024
Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing
ICML 2024