Reasoning

Modelling Commonsense Properties Using Pre-Trained Bi-Encoders COLING 2022 Natural Language Deduction through Search over Statement Compositions EMNLP 2022 Neural Abstractions NeurIPS 2022 Neural-based Mixture Probabilistic Query Embedding for Answering FOL queries on Knowledge Graphs EMNLP 2022 Neural Networks in a Product of Hyperbolic Spaces NAACL 2022 Neural-Symbolic Entangled Framework for Complex Query Answering NeurIPS 2022 Neural-Symbolic Models for Logical Queries on Knowledge Graphs ICML 2022 Neuron Dependency Graphs: A Causal Abstraction of Neural Networks ICML 2022 Neuro-Symbolic Hierarchical Rule Induction ICML 2022 Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks AAAI 2022 NGEP: A Graph-based Event Planning Framework for Story Generation AACL 2022 Obtaining Causal Information by Merging Datasets with MAXENT AISTATS 2022 On Measuring Causal Contributions via do-interventions ICML 2022 On Paraconsistent Belief Revision in LP AAAI 2022 On Testing for Discrimination Using Causal Models AAAI 2022 On the Assumptions of Synthetic Control Methods AISTATS 2022 On the Complexity of Inductively Learning Guarded Clauses AAAI 2022 On the Convergence of Continuous Constrained Optimization for Structure Learning AISTATS 2022 On the definition and computation of causal treewidth UAI 2022 On the Equivalence of Causal Models: A Category-Theoretic Approach CLeaR 2022 On the Learning Mechanisms in Physical Reasoning NeurIPS 2022 On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges IJCAI 2022 On Verifying Expectations and Observations of Intelligent Agents IJCAI 2022 OPERA: Operation-Pivoted Discrete Reasoning over Text NAACL 2022 Optimal Rates for Regularized Conditional Mean Embedding Learning NeurIPS 2022