Causal Inference

Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making NeurIPS 2024 Mind the Graph When Balancing Data for Fairness or Robustness NeurIPS 2024 Mmm whatcha say? Uncovering distal and proximal context effects in first and second-language word perception using psychophysical reverse correlation Interspeech 2024 MMToM-QA: Multimodal Theory of Mind Question Answering ACL 2024 Model-based Reinforcement Learning for Confounded POMDPs ICML 2024 Model Checking Causality IJCAI 2024 Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference ICML 2024 Moral Uncertainty and the Problem of Fanaticism AAAI 2024 More than Just Statistical Recurrence: Human and Machine Unsupervised Learning of Māori Word Segmentation across Morphological Processes NAACL 2024 MuLan: A Study of Fact Mutability in Language Models NAACL 2024 Multi-Domain Causal Representation Learning via Weak Distributional Invariances AISTATS 2024 Multi-Granularity Causal Structure Learning AAAI 2024 Multigroup Robustness ICML 2024 Multi-Label Classification for Implicit Discourse Relation Recognition ACL 2024 Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models EMNLP 2024 Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference EMNLP 2024 Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network AAAI 2024 Multiply-Robust Causal Change Attribution ICML 2024 Multi-View Causal Representation Learning with Partial Observability ICLR 2024 Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations NeurIPS 2024 Natural Counterfactuals With Necessary Backtracking NeurIPS 2024 NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation AAAI 2024 NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics NeurIPS 2024 Neur2RO: Neural Two-Stage Robust Optimization ICLR 2024 Neural Causal Abstractions AAAI 2024