causal inference

Prototype-based Prompt-Instance Interaction with Causal Intervention for Few-shot Event Detection COLING 2024 Proximal Causal Inference for Synthetic Control with Surrogates AISTATS 2024 Proxy Methods for Domain Adaptation AISTATS 2024 Qualitative Mechanism Independence NeurIPS 2024 Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner NeurIPS 2024 Quantifying intrinsic causal contributions via structure preserving interventions AISTATS 2024 QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs NeurIPS 2024 Reasoning about Causality in Games (Abstract Reprint) AAAI 2024 Reconciling Predictive and Statistical Parity: A Causal Approach AAAI 2024 Responsibility in Extensive Form Games AAAI 2024 Rethinking Causal Relationships Learning in Graph Neural Networks AAAI 2024 Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective AAAI 2024 Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective NeurIPS 2024 Rethinking Multi-domain Generalization with A General Learning Objective CVPR 2024 Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study AAAI 2024 Reward-Relevance-Filtered Linear Offline Reinforcement Learning AISTATS 2024 Robust agents learn causal world models ICLR 2024 RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-Centric Learning WACV 2024 Robust Emotion Recognition in Context Debiasing CVPR 2024 Robust Learning via Conditional Prevalence Adjustment WACV 2024 Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024 Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024 RT-LA-VocE: Real-Time Low-SNR Audio-Visual Speech Enhancement Interspeech 2024 Sample Complexity of Interventional Causal Representation Learning NeurIPS 2024 Scalable Counterfactual Distribution Estimation in Multivariate Causal Models CLeaR 2024