instrumental variable

Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models JMLR 2026 Evaluation of "Probabilities of Causation" in Case-Control Studies: Identification and Estimation UAI 2026 Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables CLeaR 2026 Fundamental Limits and Optimal Methods for Sharp Analytical Causal Bounds in Instrumental Variable Models UAI 2026 Instrumental and Proximal Causal Inference with Gaussian Processes UAI 2026 Instrumental variables system identification with L^p consistency L4DC 2026 IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery CLeaR 2026 Learning control variables and instruments for causal analysis in observational data CLeaR 2026 Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems UAI 2026 Testing Partially-Identifiable Causal Queries Using Ternary Tests UAI 2026 BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments AISTATS 2025 Counterfactual Identification Under Monotonicity Constraints AAAI 2025 Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models ICML 2025 Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables JMLR 2025 Experimentation under Treatment Dependent Network Interference UAI 2025 Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees ICML 2025 Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems IJCAI 2025 Learning with Selectively Labeled Data from Multiple Decision-makers ICML 2025 Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses UAI 2025 Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding AISTATS 2025 Spectral Representation for Causal Estimation with Hidden Confounders AISTATS 2025 Towards the Causal Complete Cause of Multi-Modal Representation Learning ICML 2025 Transformers Handle Endogeneity in In-Context Linear Regression ICLR 2025 Adaptive Experimentation When You Can't Experiment NeurIPS 2024 Adaptive Instrument Design for Indirect Experiments ICLR 2024