Causal Inference

MeDIL: A Python Package for Causal Modelling PGM 2020 Modelling Long-distance Node Relations for KBQA with Global Dynamic Graph COLING 2020 Multi-Label Causal Feature Selection AAAI 2020 Multi-task Causal Learning with Gaussian Processes NeurIPS 2020 Mxgra at SemEval-2020 Task 4: Common Sense Making with Next Token Prediction SemEval 2020 Network Diffusions via Neural Mean-Field Dynamics NeurIPS 2020 Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification ICML 2020 NITK NLP at FinCausal-2020 Task 1 Using BERT and Linear models. COLING 2020 Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding NeurIPS 2020 On Completeness-aware Concept-Based Explanations in Deep Neural Networks NeurIPS 2020 On Computational Aspects of Iterated Belief Change IJCAI 2020 On Efficient Adjustment in Causal Graphs JMLR 2020 On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption ALT 2020 On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge AISTATS 2020 On the Role of Sparsity and DAG Constraints for Learning Linear DAGs NeurIPS 2020 Ontology Reasoning with Deep Neural Networks (Extended Abstract) IJCAI 2020 On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies ICML 2020 Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth IJCAI 2020 Performative Prediction ICML 2020 Permutation-Based Causal Structure Learning with Unknown Intervention Targets UAI 2020 Personalized Input-Output Hidden Markov Models for Disease Progression Modeling MLHC 2020 Predicting the Physical Dynamics of Unseen 3D Objects WACV 2020 Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion EMNLP 2020 Probabilistic Reasoning Across the Causal Hierarchy AAAI 2020 ProsperAMnet at FinCausal 2020, Task 1 & 2: Modeling causality in financial texts using multi-headed transformers COLING 2020