Linear Dimensionality Reduction for Margin-Based Classification: High-Dimensional Data and Sensor Networks by Varshney, Kush R., Willsky, Alan S., Willsky, Alan

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Dynamical systems defined on groups : structural properties and estimation. by Willsky, Alan S

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Paths Ahead in the Science of Information and Decision Systems by Willsky, Alan S

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Latent variable graphical model selection via convex optimization by Willsky, Alan S.

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Recursive FMP for distributed inference in Gaussian graphical models by Liu, Ying, Willsky, Alan S.

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Learning Gaussian Graphical Models with Observed or Latent FVSs by Liu, Ying, Willsky, Alan S.

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Message quantization in belief propagation: Structural results in the low-rate regime by Willsky, Alan S., Kreidl, Olivier Patrick

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Classification using geometric level sets by Varshney, Kush R., Willsky, Alan S.

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An Efficient Message-Passing Algorithm for Optimizing Decentralized Detection Networks by Kreidl, Olivier Patrick, Willsky, Alan S.

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Learning dimensionality-reduced classifiers for information fusion by Varshney, Kush R., Willsky, Alan S.

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The Hierarchical Dirichlet Process Hidden Semi-Markov Model by Johnson, Matthew James, Willsky, Alan S

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Bayesian Nonparametric Hidden Semi-Markov Models by Johnson, Matthew James, Willsky, Alan S.

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Detection error exponent for spatially dependent samples in random networks by Tong, Lang, Anandkumar, Animashree, Willsky, Alan S.

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Message Passing for Maximum Weight Independent Set by Sanghavi, Sujay, Shah, Devavrat, Willsky, Alan S.

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Belief Propagation and LP Relaxation for Weighted Matching in General Graphs by Sanghavi, S., Malioutov, Dmitry M., Willsky, Alan S.

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Sampling from Gaussian graphical models using subgraph perturbations by Liu, Ying, Kosut, Oliver, Willsky, Alan S.

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Semidefinite Descriptions of the Convex Hull of Rotation Matrices by Saunderson, James, Parrilo, Pablo A., Willsky, Alan S.

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Gaussian Multiresolution Models: Exploiting Sparse Markov and Covariance Structure by Choi, Myung Jin, Chandrasekaran, Venkat, Willsky, Alan S.

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Exploiting sparse markov and covariance structure in multiresolution models by Choi, Myung Jin, Chandrasekaran, Venkat, Willsky, Alan S.

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Latent Variable Graphical Model Selection Via Convex Optimization by Chandrasekaran, Venkat, Parrilo, Pablo A., Willsky, Alan S.

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