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Learning Sparse Gaussian Graphical Models with Overlapping Blocks

Seyed Mohammad Javad Hosseini, Su-In Lee

Neural Information Processing Systems

Second, GRAB blocks (Figa priorioruseasequential fixed. Thefirsttwo terms,logdet ( ) trace (S ), in Eq (3) correspondtologP(X| ), thelog-likelihoodof GGM givenaparticularparameter (i.e., anestimateof 1), asdescribedin Section 2.1.










Entropy testing and its application to testing Bayesian networks

Neural Information Processing Systems

This paper studies the problem of entropy identity testing: given sample access to a distribution p and a fully described distribution q (both discrete distributions over a domain of size k), and the promise that either p = q or |H (p) H (q)| ε, where H () denotes the Shannon entropy, a tester needs to distinguish between the two cases with high probability.