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

Learning Bounded Treewidth Bayesian Networks NIPS 2008
Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns JMLR 2008
Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data JMLR 2008
Non-stationary dynamic Bayesian networks NIPS 2008
Structure Learning in Human Sequential Decision-Making NIPS 2008
Kernel Measures of Independence for non-iid Data NIPS 2008
Clusters and Coarse Partitions in LP Relaxations NIPS 2008
Improved Moves for Truncated Convex Models NIPS 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NIPS 2008
Gates NIPS 2008
Efficient Exact Inference in Planar Ising Models NIPS 2008
Learning Bounded Treewidth Bayesian Networks JMLR 2008
Structural Learning of Chain Graphs via Decomposition JMLR 2008
MAS: a multiplicative approximation scheme for probabilistic inference NIPS 2008
Sparse Signal Recovery Using Markov Random Fields NIPS 2008
Bayesian Network Score Approximation using a Metagraph Kernel NIPS 2008
Integrating Locally Learned Causal Structures with Overlapping Variables NIPS 2008
Continuously-adaptive discretization for message-passing algorithms NIPS 2008
Learning Transformational Invariants from Natural Movies NIPS 2008
Complete Identification Methods for the Causal Hierarchy JMLR 2008
Agreement-Based Learning NIPS 2007
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm JMLR 2007
Hidden Common Cause Relations in Relational Learning NIPS 2007
GRIFT: A graphical model for inferring visual classification features from human data NIPS 2007