Bayesian Networks

Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NeurIPS 2013 EDML for Learning Parameters in Directed and Undirected Graphical Models NeurIPS 2013 Graphical Models for Inference with Missing Data NeurIPS 2013 Learning Stochastic Inverses NeurIPS 2013 Tracking Time-varying Graphical Structure NeurIPS 2013 Modelling Reciprocating Relationships with Hawkes Processes NeurIPS 2012 Multiplicative Forests for Continuous-Time Processes NeurIPS 2012 Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NeurIPS 2011 Solving Decision Problems with Limited Information NeurIPS 2011 Bayesian Action-Graph Games NeurIPS 2010 Copula Bayesian Networks NeurIPS 2010 Evaluation of Rarity of Fingerprints in Forensics NeurIPS 2010 Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NeurIPS 2010 MAP Estimation for Graphical Models by Likelihood Maximization NeurIPS 2010 Non-stationary continuous dynamic Bayesian networks NeurIPS 2009 Time-Varying Dynamic Bayesian Networks NeurIPS 2009 Bayesian Network Score Approximation using a Metagraph Kernel NeurIPS 2008 Learning Bounded Treewidth Bayesian Networks NeurIPS 2008 Non-stationary dynamic Bayesian networks NeurIPS 2008 Hidden Common Cause Relations in Relational Learning NeurIPS 2007 Infinite State Bayes-Nets for Structured Domains NeurIPS 2007 The Noisy-Logical Distribution and its Application to Causal Inference NeurIPS 2007 Multi-dynamic Bayesian Networks NeurIPS 2006 Learning Module Networks JMLR 2005