causal inference

Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression ICLR 2025 Optimal Policy Adaptation Under Covariate Shift IJCAI 2025 Out-of-Distribution Generalization on Graphs via Progressive Inference AAAI 2025 Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization AAAI 2025 Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption ICML 2025 Position: Probabilistic Modelling is Sufficient for Causal Inference ICML 2025 Preference Learning for AI Alignment: a Causal Perspective ICML 2025 Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set CLeaR 2025 Prompting Fairness: Integrating Causality to Debias Large Language Models ICLR 2025 Rating AI Models for Robustness Through a Causal Lens IJCAI 2025 Reasoning About Actual Causes in Nondeterministic Domains AAAI 2025 Representation Learning: A Causal Perspective AAAI 2025 Rethinking Fair Representation Learning for Performance-Sensitive Tasks ICLR 2025 Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors ICCV 2025 Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses UAI 2025 Root Cause Analysis of Failures from Partial Causal Structures UAI 2025 Scalable Causal Structure Learning via Amortized Conditional Independence Testing CLeaR 2025 Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders AISTATS 2025 Semantic Causality-Aware Vision-Based 3D Occupancy Prediction ICCV 2025 SGCD: Subtask-Guided Causal-Debiasing Framework for Robust Cross-Utterance Sentiment Quadruple Extraction in Dialogues EMNLP 2025 Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations CVPR 2025 Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding AISTATS 2025 Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models ICLR 2025 Stabilized Inverse Probability Weighting via Isotonic Calibration CLeaR 2025 Stabilized Neural Prediction of Potential Outcomes in Continuous Time ICLR 2025