conftrace_

directed acyclic graph

245 papers

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Also known as

DAG

Co-occurring keywords

causal discovery (460) structure learning (341) graphical model (864) causal inference (1630) bayesian network (378) markov equivalence class (37) graph neural network (3962) structural equation model (77) causal structure learning (63) latent variable (541)

Papers

Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions CVPR 2013
Finding Optimal Bayesian Networks Using Precedence Constraints JMLR 2013
Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows JMLR 2013
Minimizing Uncertainty in Pipelines NIPS 2012
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs JMLR 2012
Mixed Cumulative Distribution Networks AISTATS 2011
Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables AISTATS 2011
Bayesian Sparse Factor Models and DAGs Inference and Comparison NIPS 2009
Properties of Monotonic Effects on Directed Acyclic Graphs JMLR 2009
Nonlinear directed acyclic structure learning with weakly additive noise models NIPS 2009
The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models JMLR 2009
Causal Reasoning with Ancestral Graphs JMLR 2008
A Recursive Method for Structural Learning of Directed Acyclic Graphs JMLR 2008
Active Learning of Causal Networks with Intervention Experiments and Optimal Designs JMLR 2008
Finding Optimal Bayesian Network Given a Super-Structure JMLR 2008
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm JMLR 2007
A Linear Non-Gaussian Acyclic Model for Causal Discovery JMLR 2006
Learning the Structure of Linear Latent Variable Models JMLR 2006
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003
Optimal Structure Identification With Greedy Search JMLR 2002