Knowledge & Reasoning

Exploiting Ontology Structures and Unlabeled Data for Learning ICML 2013 First-order Decomposition Trees NeurIPS 2013 Graphical Models for Inference with Missing Data NeurIPS 2013 Guided Monte Carlo Tree Search for Planning in Learned Environments ACML 2013 Improving Predictive Specificity of Description Logic Learners by Fortification ACML 2013 Learning Linear Bayesian Networks with Latent Variables ICML 2013 Message Passing Inference with Chemical Reaction Networks NeurIPS 2013 Meta-Transportability of Causal Effects: A Formal Approach AISTATS 2013 Modeling Temporal Evolution and Multiscale Structure in Networks ICML 2013 NEIL: Extracting Visual Knowledge from Web Data ICCV 2013 Network Principles for SfM: Disambiguating Repeated Structures with Local Context ICCV 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs NeurIPS 2013 Reasoning With Neural Tensor Networks for Knowledge Base Completion NeurIPS 2013 SADA: A General Framework to Support Robust Causation Discovery ICML 2013 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NeurIPS 2013 Synthesizing Robust Plans under Incomplete Domain Models NeurIPS 2013 Tracking Time-varying Graphical Structure NeurIPS 2013 Translating Embeddings for Modeling Multi-relational Data NeurIPS 2013 Unsupervised Structure Learning of Stochastic And-Or Grammars NeurIPS 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 Visual Semantic Complex Network for Web Images ICCV 2013 Action-Model Based Multi-agent Plan Recognition NeurIPS 2012 A latent factor model for highly multi-relational data NeurIPS 2012 Causal discovery with scale-mixture model for spatiotemporal variance dependencies NeurIPS 2012