Causal Inference

On the Universal Truthfulness Hyperplane Inside LLMs EMNLP 2024 On the Unlikelihood of D-Separation PGM 2024 On the Way to Gentle AI Counselor: Politeness Cause Elicitation and Intensity Tagging in Code-mixed Hinglish Conversations for Social Good NAACL 2024 OpenPI2.0: An Improved Dataset for Entity Tracking in Texts EACL 2024 Optimal Kernel Choice for Score Function-based Causal Discovery ICML 2024 Optimization-based Causal Estimation from Heterogeneous Environments JMLR 2024 Optimization Under Epistemic Uncertainty Using Prediction IJCAI 2024 Optimizing Language Models for Human Preferences is a Causal Inference Problem UAI 2024 Ordering-Based Causal Discovery for Linear and Nonlinear Relations NeurIPS 2024 P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models NAACL 2024 PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect ICML 2024 Partial Identification with Proxy of Latent Confoundings via Sum-of-ratios Fractional Programming UAI 2024 Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness RSS 2024 Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits NeurIPS 2024 Partial Transportability for Domain Generalization NeurIPS 2024 PHSIC against Random Consistency and Its Application in Causal Inference IJCAI 2024 PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation NeurIPS 2024 Physics-Aware Hand-Object Interaction Denoising CVPR 2024 Policy Learning for Localized Interventions from Observational Data AISTATS 2024 Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue IJCAI 2024 Position: Is machine learning good or bad for the natural sciences? ICML 2024 Position: The Causal Revolution Needs Scientific Pragmatism ICML 2024 Positivity-free Policy Learning with Observational Data AISTATS 2024 Pragmatic Fairness: Developing Policies with Outcome Disparity Control CLeaR 2024 Predictive Coding beyond Correlations ICML 2024