Alan S. Willsky

Publication Activity (10 Years)

Years Active: 1974-2020
Publications (10 Years): 7

Top Venues

FUSION

ISIT

CoRR

CDC

Publications

Craig Carthel, Jordan LeNoach, Stefano Coraluppi, Alan S. Willsky, Brandon Bale
Analysis of MHT and GBT Approaches to Disparate-Sensor Fusion. FUSION (2020)
Stefano P. Coraluppi, Craig A. Carthel, Alan S. Willsky
Graph-Based Tracking with Uncertain ID Measurement Associations. FUSION (2019)
Stefano P. Coraluppi, Craig A. Carthel, Alan S. Willsky
Multi-Sensor tracking of move-stop-move targets. SDF (2017)
Stefano Coraluppi, Craig Carthel, William Kreamer, Alan S. Willsky
New graph-based and MCMC approaches to multi-INT surveillance. FUSION (2016)
James Saunderson, Pablo A. Parrilo, Alan S. Willsky
Semidefinite Descriptions of the Convex Hull of Rotation Matrices. SIAM J. Optim. 25 (3) (2015)
Stefano Coraluppi, Craig Carthel, William Kreamer, Alan S. Willsky
MCMC and MHT Approaches to Multi-INT surveillance. FUSION (2015)
Ying Liu, Oliver Kosut, Alan S. Willsky
Sampling From Gaussian Markov Random Fields Using Stationary and Non-Stationary Subgraph Perturbations. IEEE Trans. Signal Process. 63 (3) (2015)
James Saunderson, Pablo A. Parrilo, Alan S. Willsky
Semidefinite relaxations for optimization problems over rotation matrices. CDC (2014)
Matthew James Johnson, Alan S. Willsky
Stochastic Variational Inference for Bayesian Time Series Models. ICML (2014)
Müjdat Çetin, Ivana Stojanovic, N. Özben Önhon, Kush R. Varshney, Sadegh Samadi, William Clement Karl, Alan S. Willsky
Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing. IEEE Signal Process. Mag. 31 (4) (2014)
James Saunderson, Pablo A. Parrilo, Alan S. Willsky
Diagonal and low-rank decompositions and fitting ellipsoids to random points. CDC (2013)
Ying Liu, Alan S. Willsky
Learning Gaussian Graphical Models with Observed or Latent FVSs. NIPS (2013)
Matthew J. Johnson, James Saunderson, Alan S. Willsky
Analyzing Hogwild Parallel Gaussian Gibbs Sampling. NIPS (2013)
Ying Liu, Alan S. Willsky
Recursive FMP for distributed inference in Gaussian graphical models. ISIT (2013)
Ying Liu, Alan S. Willsky
Learning Gaussian Graphical Models with Observed or Latent FVSs. CoRR (2013)
Martin J. Wainwright, Tommi S. Jaakkola, Alan S. Willsky
A New Class of Upper Bounds on the Log Partition Function CoRR (2013)
Matthew J. Johnson, Alan S. Willsky
Bayesian nonparametric hidden semi-Markov models. J. Mach. Learn. Res. 14 (1) (2013)
Ying Liu, Oliver Kosut, Alan S. Willsky
Sampling from Gaussian graphical models using subgraph perturbations. ISIT (2013)
Matthew J. Johnson, Alan S. Willsky
The Hierarchical Dirichlet Process Hidden Semi-Markov Model CoRR (2012)
Animashree Anandkumar, Vincent Y. F. Tan, Furong Huang, Alan S. Willsky
High-dimensional Gaussian graphical model selection: walk summability and local separation criterion. J. Mach. Learn. Res. 13 (2012)
Venkat Chandrasekaran, Benjamin Recht, Pablo A. Parrilo, Alan S. Willsky
The Convex Geometry of Linear Inverse Problems. Found. Comput. Math. 12 (6) (2012)
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
A Tree-Based Context Model for Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 34 (2) (2012)
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Convex Graph Invariants. SIAM Rev. 54 (3) (2012)
James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Diagonal and Low-Rank Matrix Decompositions, Correlation Matrices, and Ellipsoid Fitting. SIAM J. Matrix Anal. Appl. 33 (4) (2012)
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Convex graph invariants. CISS (2012)
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Rejoinder: Latent variable graphical model selection via convex optimization CoRR (2012)
Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky
Feedback Message Passing for Inference in Gaussian Graphical Models. IEEE Trans. Signal Process. 60 (8) (2012)
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
Context models and out-of-context objects. Pattern Recognit. Lett. 33 (7) (2012)
Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Parrilo, Alan S. Willsky
Rank-Sparsity Incoherence for Matrix Decomposition. SIAM J. Optim. 21 (2) (2011)
Kush R. Varshney, Alan S. Willsky
Linear Dimensionality Reduction for Margin-Based Classification: High-Dimensional Data and Sensor Networks. IEEE Trans. Signal Process. 59 (6) (2011)
Animashree Anandkumar, Vincent Y. F. Tan, Alan S. Willsky
High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families CoRR (2011)
Animashree Anandkumar, Vincent Y. F. Tan, Alan S. Willsky
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions. NIPS (2011)
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates. J. Mach. Learn. Res. 12 (2011)
Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky
Feedback Message Passing for Inference in Gaussian Graphical Models CoRR (2011)
Animashree Anandkumar, Vincent Y. F. Tan, Alan S. Willsky
High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families CoRR (2011)
James Saunderson, Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Tree-structured statistical modeling via convex optimization. CDC/ECC (2011)
Vincent Y. F. Tan, Alan S. Willsky
Sample complexity for topology estimation in networks of LTI systems. CDC/ECC (2011)
Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong, Alan S. Willsky
A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures. IEEE Trans. Inf. Theory 57 (3) (2011)
Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
Learning Latent Tree Graphical Models. J. Mach. Learn. Res. 12 (2011)
Paul N. Balister, Béla Bollobás, Animashree Anandkumar, Alan S. Willsky
Energy-Latency Tradeoff for In-Network Function Computation in Random Networks CoRR (2011)
Paul Balister, Béla Bollobás, Animashree Anandkumar, Alan S. Willsky
Energy-latency tradeoff for in-network function computation in random networks. INFOCOM (2011)
Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Willsky
Belief Propagation and LP Relaxation for Weighted Matching in General Graphs. IEEE Trans. Inf. Theory 57 (4) (2011)
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
Bayesian Nonparametric Inference of Switching Dynamic Linear Models. IEEE Trans. Signal Process. 59 (4) (2011)
Myung Jin Choi, Joseph J. Lim, Antonio Torralba, Alan S. Willsky
Exploiting hierarchical context on a large database of object categories. CVPR (2010)
Vincent Y. F. Tan, Matthew J. Johnson, Alan S. Willsky
Necessary and sufficient conditions for high-dimensional salient feature subset recovery. ISIT (2010)
Alan S. Willsky
Paths Ahead in the Science of Information and Decision Systems [In the Spotlight]. IEEE Signal Process. Mag. 27 (2) (2010)
Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
Learning Latent Tree Graphical Models CoRR (2010)
Ying Liu, Venkat Chandrasekaran, Animashree Anandkumar, Alan S. Willsky
Feedback message passing for inference in gaussian graphical models. ISIT (2010)
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky
Sequential Compressed Sensing. IEEE J. Sel. Top. Signal Process. 4 (2) (2010)
Matthew J. Johnson, Alan S. Willsky
The Hierarchical Dirichlet Process Hidden Semi-Markov Model. UAI (2010)
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Latent variable graphical model selection via convex optimization. Allerton (2010)
Venkat Chandrasekaran, Benjamin Recht, Pablo A. Parrilo, Alan S. Willsky
The Convex algebraic geometry of linear inverse problems. Allerton (2010)
Animashree Anandkumar, Joseph E. Yukich, Alan S. Willsky
Limit laws for random spatial graphical models. ISIT (2010)
Kush R. Varshney, Alan S. Willsky
Classification Using Geometric Level Sets. J. Mach. Learn. Res. 11 (2010)
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky
Sequential Compressed Sensing CoRR (2010)
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates CoRR (2010)
Erik B. Sudderth, Alexander T. Ihler, Michael Isard, William T. Freeman, Alan S. Willsky
Nonparametric belief propagation. Commun. ACM 53 (10) (2010)
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher III, Alan S. Willsky
Learning graphical models for hypothesis testing and classification. IEEE Trans. Signal Process. 58 (11) (2010)
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
Learning Gaussian tree models: analysis of error exponents and extremal structures. IEEE Trans. Signal Process. 58 (5) (2010)
Myung Jin Choi, Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
Consistent and efficient reconstruction of latent tree models. Allerton (2010)
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
Bayesian Nonparametric Methods for Learning Markov Switching Processes. IEEE Signal Process. Mag. 27 (6) (2010)
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky
Gaussian multiresolution models: exploiting sparse Markov and covariance structure. IEEE Trans. Signal Process. 58 (3) (2010)
Venkat Chandrasekaran, Pablo A. Parrilo, Alan S. Willsky
Convex Graph Invariants CoRR (2010)
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
Scaling laws for learning high-dimensional Markov forest distributions. Allerton (2010)
O. Patrick Kreidl, Alan S. Willsky
An Efficient Message-Passing Algorithm for Optimizing Decentralized Detection Networks. IEEE Trans. Autom. Control. 55 (3) (2010)
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
Error exponents for composite hypothesis testing of Markov forest distributions. ISIT (2010)
Marco A. Pravia, Olga Babko-Malaya, Michael K. Schneider, James V. White, Chee-Yee Chong, Alan S. Willsky
Lessons learned in the creation of a data set for hard/soft information fusion. FUSION (2009)
Venkat Chandrasekaran, Sujay Sanghavi, Pablo A. Parrilo, Alan S. Willsky
Sparse and low-rank matrix decompositions. Allerton (2009)
Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong, Alan S. Willsky
A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures CoRR (2009)
Sujay Sanghavi, Devavrat Shah, Alan S. Willsky
Message passing for maximum weight independent set. IEEE Trans. Inf. Theory 55 (11) (2009)
Kush R. Varshney, Alan S. Willsky
Learning dimensionality-reduced classifiers for information fusion. FUSION (2009)
Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong, Alan S. Willsky
A large-deviation analysis for the maximum likelihood learning of tree structures. ISIT (2009)
Animashree Anandkumar, Alan S. Willsky, Lang Tong
Detection error exponent for spatially dependent samples in random networks. ISIT (2009)
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
How do the structure and the parameters of Gaussian tree models affect structure learning? Allerton (2009)
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. Willsky
Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures CoRR (2009)
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky
covariance structure in multiresolution models. ICML (2009)
O. Patrick Kreidl, Alan S. Willsky
Message quantization in belief propagation: Structural results in the low-rate regime. Allerton (2009)
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
Sharing Features among Dynamical Systems with Beta Processes. NIPS (2009)
Zhexu Chen, Lei Chen, Müjdat Çetin, Alan S. Willsky
An efficient message passing algorithm for multi-target tracking. FUSION (2009)
Kush R. Varshney, Müjdat Çetin, John W. Fisher III, Alan S. Willsky
Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar. IEEE Trans. Signal Process. 56 (8-1) (2008)
Ayres C. Fan, John W. Fisher III, Jonathan Kane, Alan S. Willsky
MCMC curve sampling and geometric conditional simulation. Computational Imaging (2008)
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin Choi, Alan S. Willsky
Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches. IEEE Trans. Signal Process. 56 (10-1) (2008)
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky
Compressed sensing with sequential observations. ICASSP (2008)
Jason K. Johnson, Alan S. Willsky
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields. IEEE Trans. Image Process. 17 (1) (2008)
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky
Maximum entropy relaxation for multiscale graphical model selection. ICASSP (2008)
Walter Sun, Müjdat Çetin, Raymond C. Chan, Alan S. Willsky
Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects. IEEE Trans. Image Process. 17 (11) (2008)
Erik B. Sudderth, Antonio Torralba, William T. Freeman, Alan S. Willsky
Describing Visual Scenes Using Transformed Objects and Parts. Int. J. Comput. Vis. 77 (1-3) (2008)
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
An HDP-HMM for systems with state persistence. ICML (2008)
Sujay Sanghavi, Dmitry Malioutov, Alan S. Willsky
Networking sensors using belief propagation. Allerton (2008)
Sujay Sanghavi, Devavrat Shah, Alan S. Willsky
Message-passing for Maximum Weight Independent Set CoRR (2008)
O. Patrick Kreidl, Alan S. Willsky
Decentralized detection with long-distance communication. ACSCC (2008)
Walter Sun, Müjdat Çetin, Raymond C. Chan, Alan S. Willsky
Segmentation of the evolving left ventricle by learning the dynamics. ISBI (2008)
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems. NIPS (2008)
Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky
Estimation in Gaussian Graphical Models Using Tractable Subgraphs: A Walk-Sum Analysis. IEEE Trans. Signal Process. 56 (5) (2008)
Vincent Y. F. Tan, John W. Fisher III, Alan S. Willsky
Learning max-weight discriminative forests. ICASSP (2008)
Jason L. Williams, John W. Fisher III, Alan S. Willsky
Performance Guarantees for Information Theoretic Active Inference. AISTATS (2007)
Jason K. Johnson, Venkat Chandrasekaran, Alan S. Willsky
Learning Markov Structure by Maximum Entropy Relaxation. AISTATS (2007)
Andy Tsai, Carl-Fredrik Westin, Alfred O. Hero III, Alan S. Willsky
Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs. CVPR (2007)
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky
GMRF Variance Approximation using Splicedwavelet Bases. ICASSP (3) (2007)
Jason L. Williams, John W. Fisher III, Alan S. Willsky
Performance Guarantees for Information Theoretic Sensor Resource Management. ICASSP (3) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alan S. Willsky