Causal Inference

Identification and Bounding of Central Moments of Causal Effects Using Marginal Moments Information UAI 2026 Identifying Weight-Variant Latent Causal Models JMLR 2026 ILSIC: Corpora for Identifying Indian Legal Statutes from Queries by Laymen EACL 2026 IMPACT: Integrated Multimodal Pipeline for Rapid Accident Causality Tracking (Student Abstract) AAAI 2026 Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation AAAI 2026 Improving Generative Methods for Causal Evaluation via Simulation-Based Inference CLeaR 2026 Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment UAI 2026 Improving TabPFN’s Synthetic Data Generation by Integrating Causal Structure UAI 2026 Inferring Implicit Goals Across Differing Task Models AAAI 2026 Information-Theoretic Causal Bounds under Unmeasured Confounding CLeaR 2026 Information-Theoretic Lower Bounds for Causal Inference under Credal Uncertainty UAI 2026 Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks AAAI 2026 Information-theoretic signatures of causality in Bayesian networks and hypergraphs CLeaR 2026 Instrumental and Proximal Causal Inference with Gaussian Processes UAI 2026 Interpolated Stochastic Interventions Based on Propensity Scores, Target Policies and Treatment-Specific Costs AAAI 2026 Interpretable Causal Discovery via Causal-Effect Constraints UAI 2026 Intervening to learn and compose causally disentangled representations CLeaR 2026 Introducing Decomposed Causality with Spatiotemporal Object-Centric Representation for Video Classification AAAI 2026 Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation AAAI 2026 iTAG: Inverse Design for Natural Text Generation with Accurate Causal Graph Annotations ACL 2026 IV Co-Scientist: Multi-Agent LLM Framework for Causal Instrumental Variable Discovery CLeaR 2026 Knowledge Boundary Discovery for Large Language Models AAAI 2026 KTCF: Actionable Recourse in Knowledge Tracing via Counterfactual Explanations for Education AAAI 2026 Language Models and Logic Programs for Trustworthy Tax Reasoning AAAI 2026 Learning and Testing Exposure Mappings of Interference using Graph Convolutional Autoencoders CLeaR 2026