treatment effect

A fine-grained look at causal effects in causal spaces CLeaR 2026 Automatic debiased machine learning and sensitivity analysis for sample selection models CLeaR 2026 Experimentation on Endogenous Graphs AAAI 2026 Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups AAAI 2026 Interpolated Stochastic Interventions Based on Propensity Scores, Target Policies and Treatment-Specific Costs AAAI 2026 Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics AAAI 2026 Matched-Pair Experimental Design with Active Learning UAI 2026 Measuring Model Performance in the Presence of an Intervention AAAI 2026 Possibilistic Instrumental Variable Regression with Potentially Invalid Instruments UAI 2026 Single-Network Asymptotics for Causal Inference with Partial Network Data UAI 2026 Uplift Modeling with Delayed Feedback: Identifiability and Algorithms AAAI 2026 Beyond Flatland: A Geometric Take on Matching Methods for Treatment Effect Estimation CLeaR 2025 Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources ICLR 2025 Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects ICML 2025 Dependent Randomized Rounding for Budget Constrained Experimental Design UAI 2025 Doubly robust identification of treatment effects from multiple environments ICLR 2025 Experimentation under Treatment Dependent Network Interference UAI 2025 Locally Private Causal Inference for Randomized Experiments JMLR 2025 Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning IJCAI 2025 The Hardness of Validating Observational Studies with Experimental Data AISTATS 2025 Uplift Model Evaluation with Ordinal Dominance Graphs JMLR 2025 A Neural Framework for Generalized Causal Sensitivity Analysis ICLR 2024 A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error ICLR 2024 Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation ICLR 2024 Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm NeurIPS 2024