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conftrace_

conditional independence

153 papers

CI

Papers

How Neural Network Depth Compensates for HMM Conditional Independence Assumptions in DNN-HMM Acoustic Models Interspeech 2016 Identifying the irreducible disjoint factors of a multivariate probability distribution PGM 2016 Statistical Matching of Discrete Data by Bayesian Networks PGM 2016 The Multiple Quantile Graphical Model NeurIPS 2016 Unsupervised Ensemble Learning with Dependent Classifiers AISTATS 2016 Unsupervised Risk Estimation Using Only Conditional Independence Structure NeurIPS 2016 Segregated Graphs and Marginals of Chain Graph Models NeurIPS 2015 A Junction Tree Framework for Undirected Graphical Model Selection JMLR 2014 Augur: Data-Parallel Probabilistic Modeling NeurIPS 2014 Testing Unfaithful Gaussian Graphical Models NeurIPS 2014 Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting JMLR 2013 Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion JMLR 2013 Convex Multi-view Subspace Learning NeurIPS 2012 On the Necessity of Irrelevant Variables JMLR 2012 Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NeurIPS 2012 Faithfulness in Chain Graphs: The Gaussian Case AISTATS 2011 Learning Higher-Order Graph Structure with Features by Structure Penalty NeurIPS 2011 Efficient Algorithms for Conditional Independence Inference JMLR 2010 Mass Fatality Incident Identification based on nuclear DNA evidence AISTATS 2010 An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity JMLR 2009 Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation JMLR 2009 Markov Properties for Linear Causal Models with Correlated Errors JMLR 2009 Toward Provably Correct Feature Selection in Arbitrary Domains NeurIPS 2009 Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets NeurIPS 2008 Search for Additive Nonlinear Time Series Causal Models JMLR 2008