Causal Inference

Predictive Performance Comparison of Decision Policies Under Confounding ICML 2024 Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics NeurIPS 2024 Probabilities of Causation for Continuous and Vector Variables UAI 2024 Probabilities of Causation with Nonbinary Treatment and Effect AAAI 2024 Probing Language Models on Their Knowledge Source EMNLP 2024 Products, Abstractions and Inclusions of Causal Spaces UAI 2024 Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation AAAI 2024 ProMark: Proactive Diffusion Watermarking for Causal Attribution CVPR 2024 Propensity Score Alignment of Unpaired Multimodal Data NeurIPS 2024 Prosody-Driven Privacy-Preserving Dementia Detection Interspeech 2024 Prototype-based Prompt-Instance Interaction with Causal Intervention for Few-shot Event Detection COLING 2024 Provably Powerful Graph Neural Networks for Directed Multigraphs AAAI 2024 Proximal Causal Inference for Synthetic Control with Surrogates AISTATS 2024 Proximal Causal Inference With Text Data NeurIPS 2024 Proxy Methods for Domain Adaptation AISTATS 2024 Pungene at DialAM-2024: Identification of Propositional and Illocutionary Relations ACL 2024 Puzzle Solving using Reasoning of Large Language Models: A Survey EMNLP 2024 PWEITINLP at SemEval-2024 Task 3: Two Step Emotion Cause Analysis SemEval 2024 QA-based Event Start-Points Ordering for Clinical Temporal Relation Annotation COLING 2024 Qualitative Mechanism Independence NeurIPS 2024 Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner NeurIPS 2024 Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective EMNLP 2024 QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios EMNLP 2024 QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs NeurIPS 2024 Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces NeurIPS 2024