Knowledge & Reasoning

Cross-Graph Learning of Multi-Relational Associations ICML 2016 Decisions and Dependence in Influence Diagrams PGM 2016 Discriminative Gaifman Models NeurIPS 2016 Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks JMLR 2016 Efficient Grounding of Abstract Spatial Concepts for Natural Language Interaction with Robot Manipulators RSS 2016 Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016 Estimating Causal Structure Using Conditional DAG Models JMLR 2016 From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation COLING 2016 GAKE: Graph Aware Knowledge Embedding COLING 2016 Identification and Overidentification of Linear Structural Equation Models NeurIPS 2016 Knowledge-Driven Event Embedding for Stock Prediction COLING 2016 Learning Acyclic Directed Mixed Graphs from Observations and Interventions PGM 2016 Learning Granger Causality for Hawkes Processes ICML 2016 Learning Latent Variable Models by Pairwise Cluster Comparison: Part I - Theory and Overview JMLR 2016 Long-term Causal Effects via Behavioral Game Theory NeurIPS 2016 Named Entity Disambiguation for little known referents: a topic-based approach COLING 2016 NL2KB: Resolving Vocabulary Gap between Natural Language and Knowledge Base in Knowledge Base Construction and Retrieval COLING 2016 Non-linear Causal Inference using Gaussianity Measures JMLR 2016 Nonparametric Network Models for Link Prediction JMLR 2016 Predicting the Evocation Relation between Lexicalized Concepts COLING 2016 Querying Data Graphs with Arithmetical Regular Expressions IJCAI 2016 Recommendations as Treatments: Debiasing Learning and Evaluation ICML 2016 The Arrow of Time in Multivariate Time Series ICML 2016 The Open Framework for Developing Knowledge Base And Question Answering System COLING 2016 Topic-Based Embeddings for Learning from Large Knowledge Graphs AISTATS 2016