Causal Inference

Federated Combinatorial Causal Bandits with Heterogeneous Causal Influences UAI 2026 FedMPT: Federated Multi-Label Prompt Tuning of Vision-Language Models CVPR 2026 FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD AAAI 2026 Flexible Functional Treatment Effect Estimation JMLR 2026 Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables CLeaR 2026 FOL-Traces: Verified First-Order Logic Reasoning Traces at Scale EACL 2026 Foundations of Formal Reasoning over Knowledge Bases Combining Symbolic and Sub-Symbolic Knowledge AAAI 2026 From Sentences to Proof Trees: Leveraging Language Models for Structured Reasoning EACL 2026 From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection AAAI 2026 FT-MoE: Sustainable-learning Mixture of Experts for Fault-Tolerant Computing AAAI 2026 Fundamental Limits and Optimal Methods for Sharp Analytical Causal Bounds in Instrumental Variable Models UAI 2026 GAHMN: A Generative Approach for High-Dimensional Mediation Analysis AAAI 2026 GCIB: Causal Intervention Guided Graph Information Bottleneck Framework AAAI 2026 GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents AAAI 2026 Generating Attribute-Aware Human Motions from Textual Prompt AAAI 2026 GeneVAR: Causal MeanFlow for Autoregressive Gene-to-WSI Tile Synthesis CVPR 2026 Good-for-MDP State Reduction for Stochastic LTL Planning AAAI 2026 Group Causal Policy Optimization for Post-Training Large Language Models AAAI 2026 Guidelines as Environments: A World Model Approach to Rule Following ACL 2026 Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models AAAI 2026 Hierarchical Causal Models JMLR 2026 High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption UAI 2026 How PC-based Methods Err: Towards Better Reporting of Assumption Violations and Small Sample Errors UAI 2026 I2CD: An Invertible Causal Framework for Compositional Zero-Shot Learning via Disentangle-Compose-Disentangle AAAI 2026 I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables AAAI 2026