Reasoning

Causal Discovery Toolbox: Uncovering causal relationships in Python JMLR 2020 Causal Estimation with Functional Confounders NeurIPS 2020 Causal Feature Learning for Utility-Maximizing Agents PGM 2020 Causal inference in degenerate systems: An impossibility result AISTATS 2020 Causal Inference of Script Knowledge EMNLP 2020 Cause-Effect Association between Event Pairs in Event Datasets IJCAI 2020 Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe NeurIPS 2020 Check before You Change: Preventing Correlated Failures in Service Updates NSDI 2020 Checking Chase Termination over Ontologies of Existential Rules with Equality AAAI 2020 CLN2INV: Learning Loop Invariants with Continuous Logic Networks ICLR 2020 Closing the Loop: Bringing Humans into Empirical Computational Social Choice and Preference Reasoning IJCAI 2020 Commonsense Knowledge Base Completion with Structural and Semantic Context AAAI 2020 Commonsense Reasoning for Natural Language Processing ACL 2020 Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning IJCAI 2020 Complexity and Expressive Power of Disjunction and Negation in Limit Datalog AAAI 2020 Conditional Causal Relationships between Emotions and Causes in Texts EMNLP 2020 Cone Semantics for Logics with Negation IJCAI 2020 Constrained Fact Verification for FEVER EMNLP 2020 Constraing-Based Learning for Continous-Time Bayesian Networks PGM 2020 Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment AAAI 2020 Cost-Partitioned Merge-and-Shrink Heuristics for Optimal Classical Planning IJCAI 2020 Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models ICML 2020 Counting Query Answers over a DL-Lite Knowledge Base IJCAI 2020 CREDICI: A Java Library for Causal Inference by Credal Networks PGM 2020 Debiasing knowledge graph embeddings EMNLP 2020