Alan S. Willsky

Affiliations: 
Massachusetts Institute of Technology, Cambridge, MA, United States 
Website:
http://ssg.mit.edu/~willsky/
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"Alan Willsky"
Mean distance: 15.91 (cluster 29)
 
SNBCP
Cross-listing: Physics Tree

Parents

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Wallace Earl Vander Velde grad student (Physics Tree)

Children

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Peyman Milanfar grad student MIT (Computer Science Tree)
Martin Wainwright grad student MIT
Carey David Bunks grad student 1987 MIT (Physics Tree)
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Publications

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Saunderson J, Parrilo PA, Willsky AS. (2015) Semidefinite descriptions of the convex hull of rotation matrices Siam Journal On Optimization. 25: 1314-1343
Liu Y, Kosut O, Willsky AS. (2015) Sampling from Gaussian Markov random fields using stationary and non-stationary subgraph perturbations Ieee Transactions On Signal Processing. 63: 576-589
Saunderson J, Parrilo PA, Willsky AS. (2015) Semidefinite relaxations for optimization problems over rotation matrices Proceedings of the Ieee Conference On Decision and Control. 2015: 160-166
Cetin M, Stojanovic I, Onhon O, et al. (2014) Sparsity-driven synthetic aperture radar imaging: Reconstruction, autofocusing, moving targets, and compressed sensing Ieee Signal Processing Magazine. 31: 27-40
Johnson MJ, Willsky AS. (2014) Stochastic variational inference for Bayesian time series models 31st International Conference On Machine Learning, Icml 2014. 5: 3872-3880
Liu Y, Kosut O, Willsky AS. (2013) Sampling from Gaussian graphical models using subgraph perturbations Ieee International Symposium On Information Theory - Proceedings. 2498-2502
Liu Y, Willsky AS. (2013) Recursive FMP for distributed inference in Gaussian graphical models Ieee International Symposium On Information Theory - Proceedings. 2483-2487
Saunderson J, Parrilo PA, Willsky AS. (2013) Diagonal and low-rank decompositions and fitting ellipsoids to random points Proceedings of the Ieee Conference On Decision and Control. 6031-6036
Johnson MJ, Willsky AS. (2013) Bayesian nonparametric Hidden semi-Markov models Journal of Machine Learning Research. 14: 673-701
Liu Y, Willsky AS. (2013) Learning Gaussian Graphical Models with observed or latent FVSs Advances in Neural Information Processing Systems
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