conftrace_

graphical model

864 papers

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Also known as

GM

Co-occurring keywords

structure learning (341) causal inference (1630) bayesian network (378) causal discovery (460) probabilistic inference (312) belief propagation (177) approximate inference (253) probabilistic modeling (852) bayesian inference (1907) markov random field (303)

Papers

Vector-Space Markov Random Fields via Exponential Families ICML 2015
Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs ICML 2015
Bounding the Cost of Search-Based Lifted Inference NIPS 2015
Spectral Learning of Large Structured HMMs for Comparative Epigenomics NIPS 2015
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width NIPS 2015
Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability NIPS 2015
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions NIPS 2015
Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number NIPS 2015
Fast Lifted MAP Inference via Partitioning NIPS 2015
Barrier Frank-Wolfe for Marginal Inference NIPS 2015
Learning Graph Structure for Multi-Label Image Classification via Clique Generation CVPR 2015
Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring NIPS 2015
Probabilistic Variational Bounds for Graphical Models NIPS 2015
M-Best-Diverse Labelings for Submodular Energies and Beyond NIPS 2015
Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets NIPS 2015
Indoor Scene Structure Analysis for Single Image Depth Estimation CVPR 2015
Reified Context Models ICML 2015
A Hybrid Approach for Probabilistic Inference using Random Projections ICML 2015
The Libra Toolkit for Probabilistic Models JMLR 2015
On Theoretical Properties of Sum-Product Networks AISTATS 2015
Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models NIPS 2015
On the Relationship between Sum-Product Networks and Bayesian Networks ICML 2015
Local Causal Discovery of Direct Causes and Effects NIPS 2015
Dense Semantic Correspondence Where Every Pixel is a Classifier ICCV 2015
Decision Boundary for Discrete Bayesian Network Classifiers JMLR 2015