causal inference

Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies AISTATS 2022 The Role of Deconfounding in Meta-learning ICML 2022 Towards IID representation learning and its application on biomedical data MIDL 2022 Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment NeurIPS 2022 Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective CVPR 2022 Training a Resilient Q-network against Observational Interference AAAI 2022 Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation NeurIPS 2022 Unit Selection with Causal Diagram AAAI 2022 Unsupervised Causal Binary Concepts Discovery with VAE for Black-Box Model Explanation AAAI 2022 Uplifting Bandits NeurIPS 2022 Using Embeddings for Causal Estimation of Peer Influence in Social Networks NeurIPS 2022 VACA: Designing Variational Graph Autoencoders for Causal Queries AAAI 2022 Validating Causal Inference Methods ICML 2022 Variance Minimization in the Wasserstein Space for Invariant Causal Prediction AISTATS 2022 Visual Abductive Reasoning CVPR 2022 Weakly supervised causal representation learning NeurIPS 2022 Weak Separation in Mixture Models and Implications for Principal Stratification AISTATS 2022 What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment NeurIPS 2022 When Does Group Invariant Learning Survive Spurious Correlations? NeurIPS 2022 When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes NAACL 2022 Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness AAAI 2022 Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving AAAI 2022 A Causal Approach for Unfair Edge Prioritization and Discrimination Removal ACML 2021 A Causal Lens for Controllable Text Generation NeurIPS 2021 Accurate and Robust Feature Importance Estimation under Distribution Shifts AAAI 2021