Causal Inference

Testing Semantic Importance via Betting NeurIPS 2024 TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing IJCAI 2024 The Causal Impact of Credit Lines on Spending Distributions AAAI 2024 The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning NeurIPS 2024 The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning EMNLP 2024 The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning EMNLP 2024 The PetShop Dataset — Finding Causes of Performance Issues across Microservices CLeaR 2024 The role of randomness in quantum state certification with unentangled measurements COLT 2024 Think Before You Simulate: Symbolic Reasoning To Orchestrate Neural Computation for Counterfactual Question Answering WACV 2024 Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph ICLR 2024 Tight Partial Identification of Causal Effects with Marginal Distribution of Unmeasured Confounders ICML 2024 Time-aware COMET: A Commonsense Knowledge Model with Temporal Knowledge COLING 2024 Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning ICML 2024 TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences AAAI 2024 To Know the Causes of Things: Text Mining for Causal Relations AAAI 2024 Topic-Aware Causal Intervention for Counterfactual Detection EMNLP 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NeurIPS 2024 Towards Best Practices of Activation Patching in Language Models: Metrics and Methods ICLR 2024 Towards Bounding Causal Effects under Markov Equivalence UAI 2024 Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models ICLR 2024 Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding NeurIPS 2024 Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering EMNLP 2024 Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection ICLR 2024 Towards Learning and Explaining Indirect Causal Effects in Neural Networks AAAI 2024 Towards Representation Learning for Weighting Problems in Design-Based Causal Inference UAI 2024