Causal Inference

Counterfactually-Equivalent Structural Causal Modelling Using Causal Graphical Normalizing Flows PGM 2024 Counterfactual Reasoning with Knowledge Graph Embeddings EACL 2024 Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes ACML 2024 Course Correcting Koopman Representations ICLR 2024 Covariate Shift Corrected Conditional Randomization Test NeurIPS 2024 Cross-Linguistic Intelligibility of Non-Compositional Expressions in Spoken Context Interspeech 2024 DAG-Informed Structure Learning from Multi-Dimensional Point Processes JMLR 2024 DAGnosis: Localized Identification of Data Inconsistencies using Structures AISTATS 2024 Data-driven Automated Negative Control Estimation (DANCE): Search for, Validation of, and Causal Inference with Negative Controls JMLR 2024 Data-driven bifurcation analysis via learning of homeomorphism L4DC 2024 Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables NeurIPS 2024 De-biased Attention Supervision for Text Classification with Causality AAAI 2024 Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees AAAI 2024 Decoding Human Language Acquisition: EEG Evidence for Predictive Probabilistic Statistics in Word Segmentation Interspeech 2024 Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach EMNLP 2024 Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation CVPR 2024 De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts CVPR 2024 DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention ACL 2024 Deductive Verification of LLM Generated SPARQL Queries COLING 2024 DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation NeurIPS 2024 Deep Quantum Error Correction AAAI 2024 Defining Expertise: Applications to Treatment Effect Estimation ICLR 2024 Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainer EMNLP 2024 Desiderata for Representation Learning: A Causal Perspective JMLR 2024 Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens CLeaR 2024