Graphical Models

Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques JMLR 2017 A Hybrid Causal Search Algorithm for Latent Variable Models PGM 2016 An Exact Approach to Learning Probabilistic Relational Model PGM 2016 Automatic Fence Segmentation in Videos of Dynamic Scenes CVPR 2016 A Word Labeling Approach to Thai Sentence Boundary Detection and POS Tagging COLING 2016 Bayesian Graphical Models for Multivariate Functional Data JMLR 2016 Bayesian Networks for Variable Groups PGM 2016 Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis CVPR 2016 Community Detection on Evolving Graphs NeurIPS 2016 Consistency of Silhouettes and Their Duals CVPR 2016 Convex Two-Layer Modeling with Latent Structure NeurIPS 2016 Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks CVPR 2016 Cross-Graph Learning of Multi-Relational Associations ICML 2016 Decrypting “Cryptogenic” Epilepsy: Semi-supervised Hierarchical Conditional Random Fields For Detecting Cortical Lesions In MRI-Negative Patients JMLR 2016 Detection, Disambiguation and Argument Identification of Discourse Connectives in Chinese Discourse Parsing COLING 2016 Discriminative Gaifman Models NeurIPS 2016 Dynamic Sum Product Networks for Tractable Inference on Sequence Data PGM 2016 Enumerating Equivalence Classes of Bayesian Networks using EC Graphs AISTATS 2016 Estimating Causal Effects with Ancestral Graph Markov Models PGM 2016 Estimating Causal Structure Using Conditional DAG Models JMLR 2016 Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks PGM 2016 Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016 Exploring Text Links for Coherent Multi-Document Summarization COLING 2016 Generalized Direct Change Estimation in Ising Model Structure ICML 2016 Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams ICML 2016