Causal Inference

C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder NeurIPS 2023 CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation ACL 2023 Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering EMNLP 2023 Characterization and Learning of Causal Graphs with Small Conditioning Sets NeurIPS 2023 Characterizing and Verifying Scientific Claims: Qualitative Causal Structure is All You Need EMNLP 2023 CLadder: Assessing Causal Reasoning in Language Models NeurIPS 2023 CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments NeurIPS 2023 Clustering and Structural Robustness in Causal Diagrams JMLR 2023 CMVAE: Causal Meta VAE for Unsupervised Meta-Learning AAAI 2023 CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation ACL 2023 COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering AAAI 2023 Collaborative Causal Inference with Fair Incentives ICML 2023 Combinatorial Causal Bandits AAAI 2023 Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models AISTATS 2023 COMET-M: Reasoning about Multiple Events in Complex Sentences EMNLP 2023 Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects ICML 2023 Complementary Roles of Inference and Language Models in QA EMNLP 2023 Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints NeurIPS 2023 Complex Reasoning in Natural Language ACL 2023 Compositional Law Parsing with Latent Random Functions ICLR 2023 Compositional Probabilistic and Causal Inference using Tractable Circuit Models AISTATS 2023 Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data AISTATS 2023 Constrained Causal Bayesian Optimization ICML 2023 Context De-Confounded Emotion Recognition CVPR 2023 Context-Specific Causal Discovery for Categorical Data Using Staged Trees AISTATS 2023