Causal Inference

Beyond Object Recognition: A New Benchmark towards Object Concept Learning ICCV 2023 Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding CLeaR 2023 BISCUIT: Causal Representation Learning from Binary Interactions UAI 2023 B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding ICML 2023 Boosting Causal Discovery via Adaptive Sample Reweighting ICLR 2023 Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract) IJCAI 2023 Branch-Price-and-Cut for Causal Discovery CLeaR 2023 Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention EMNLP 2023 Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts ACL 2023 CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning CVPR 2023 CALM-Bench: A Multi-task Benchmark for Evaluating Causality-Aware Language Models EACL 2023 CaMP: Causal Multi-policy Planning for Interactive Navigation in Multi-room Scenes NeurIPS 2023 Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CLeaR 2023 Can Pretrained Language Models (Yet) Reason Deductively? EACL 2023 CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning ACL 2023 Causal Abstraction for Chain-of-Thought Reasoning in Arithmetic Word Problems EMNLP 2023 Causal Abstraction with Soft Interventions CLeaR 2023 Causal Balancing for Domain Generalization ICLR 2023 Causal Bandits for Linear Structural Equation Models JMLR 2023 Causal Component Analysis NeurIPS 2023 Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction AAAI 2023 Causal Confusion and Reward Misidentification in Preference-Based Reward Learning ICLR 2023 Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness NeurIPS 2023 Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning ACL 2023 Causal Deep Reinforcement Learning Using Observational Data IJCAI 2023