Causal Inference

Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport AAAI 2025 Differentiable Causal Structure Learning with Identifiability by NOTIME AISTATS 2025 Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting AAAI 2025 Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data AAAI 2025 Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark ICLR 2025 Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments AISTATS 2025 Doubly robust identification of treatment effects from multiple environments ICLR 2025 Efficient Causal Decision Making with One-sided Feedback ICLR 2025 Eliciting Causal Abilities in Large Language Models for Reasoning Tasks AAAI 2025 Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis WACV 2025 Evaluating Index-based Treatment Allocation in Underresourced Communities AAAI 2025 Experimentation under Treatment Dependent Network Interference UAI 2025 Fairness-Accuracy Trade-Offs: A Causal Perspective AAAI 2025 Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations ACL 2025 Federated Causally Invariant Feature Learning AAAI 2025 Federated Granger Causality Learning For Interdependent Clients With State Space Representation ICLR 2025 FIND: A Framework for Discovering Formulas in Data AAAI 2025 Generalized Criterion for Identifiability of Additive Noise Models Using Majorization AISTATS 2025 Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects AISTATS 2025 Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding AAAI 2025 Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference CVPR 2025 Information-Theoretic Causal Discovery in Topological Order AISTATS 2025 Just Trial Once: Ongoing Causal Validation of Machine Learning Models UAI 2025 Learning Causal Transition Matrix for Instance-dependent Label Noise AAAI 2025 Learning Structural Causal Models from Ordering: Identifiable Flow Models AAAI 2025