Causal Inference

Learning interaction rules from multi-animal trajectories via augmented behavioral models NeurIPS 2021 Learning Invariant Representations for Reinforcement Learning without Reconstruction ICLR 2021 Learning latent causal graphs via mixture oracles NeurIPS 2021 Learning Matching Representations for Individualized Organ Transplantation Allocation AISTATS 2021 Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis ICML 2021 Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal β-Amyloid Data MIDL 2021 Learning to Assimilate in Chaotic Dynamical Systems NeurIPS 2021 Learning Treatment Effects in Panels with General Intervention Patterns NeurIPS 2021 Learning "What-if" Explanations for Sequential Decision-Making ICLR 2021 Leveraging knowledge sources for detecting self-reports of particular health issues on social media EACL 2021 Lifted reasoning meets weighted model integration UAI 2021 Local explanations via necessity and sufficiency: unifying theory and practice UAI 2021 Mapping probability word problems to executable representations EMNLP 2021 Matching a Desired Causal State via Shift Interventions NeurIPS 2021 Maximal ancestral graph structure learning via exact search UAI 2021 Measuring Dependence with Matrix-based Entropy Functional AAAI 2021 Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences ICML 2021 Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia ACL 2021 Meta Learning for Causal Direction AAAI 2021 MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks EMNLP 2021 Mining EL Bases with Adaptable Role Depth AAAI 2021 Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States EMNLP 2021 MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms NeurIPS 2021 MLBiNet: A Cross-Sentence Collective Event Detection Network ACL 2021 Model-Free and Model-Based Policy Evaluation when Causality is Uncertain ICML 2021