Causal Inference

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models ACL 2023 A Causal View of Entity Bias in (Large) Language Models EMNLP 2023 A Closer Look at the Intervention Procedure of Concept Bottleneck Models ICML 2023 A Cross-Moment Approach for Causal Effect Estimation NeurIPS 2023 Active causal structure learning with advice ICML 2023 Active Learning based Structural Inference ICML 2023 Adapting to Latent Subgroup Shifts via Concepts and Proxies AISTATS 2023 Adaptivity Complexity for Causal Graph Discovery UAI 2023 Additive Causal Bandits with Unknown Graph ICML 2023 A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why? EMNLP 2023 Adjustment and Alignment for Unbiased Open Set Domain Adaptation CVPR 2023 Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks ICLR 2023 Alignment via Mutual Information CoNLL 2023 A Logic-based Approach to Contrastive Explainability for Neurosymbolic Visual Question Answering IJCAI 2023 Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction EMNLP 2023 A Measure-Theoretic Axiomatisation of Causality NeurIPS 2023 A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis EMNLP 2023 A Meta-Reinforcement Learning Algorithm for Causal Discovery CLeaR 2023 An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity CVPR 2023 Analysis of Variance of Multiple Causal Networks NeurIPS 2023 Analyzing Diffusion as Serial Reproduction ICML 2023 An Efficient Doubly-Robust Test for the Kernel Treatment Effect NeurIPS 2023 A Neural Mean Embedding Approach for Back-door and Front-door Adjustment ICLR 2023 A New Causal Decomposition Paradigm towards Health Equity AISTATS 2023 An information-theoretic quantification of the content of communication between brain regions NeurIPS 2023