Jason K. Johnson

Publication Activity (10 Years)

Years Active: 2005-2016
Publications (10 Years): 1

Top Venues

ISIT

J. Mach. Learn. Res.

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Jason K. Johnson, Diane Oyen, Michael Chertkov, Praneeth Netrapalli
Learning Planar Ising Models. J. Mach. Learn. Res. 17 (2016)
Shrinivas Kudekar, Jason K. Johnson, Misha Chertkov
Improved linear programming decoding using frustrated cycles. ISIT (2013)
Shrinivas Kudekar, Jason K. Johnson, Michael Chertkov
Improved Linear Programming Decoding using Frustrated Cycles CoRR (2011)
Shrinivas Kudekar, Jason K. Johnson, Michael Chertkov
Linear Programming based Detectors for Two-Dimensional Intersymbol Interference Channels CoRR (2011)
Shrinivas Kudekar, Jason K. Johnson, Michael Chertkov
Linear programming based detectors for two-dimensional intersymbol interference channels. ISIT (2011)
Jason K. Johnson, Praneeth Netrapalli, Michael Chertkov
Learning Planar Ising Models CoRR (2010)
Jason K. Johnson, Michael Chertkov
A Majorization-Minimization Approach to Design of Power Transmission Networks CoRR (2010)
Jason K. Johnson, Michael Chertkov
A majorization-minimization approach to design of power transmission networks. CDC (2010)
Jason K. Johnson, Danny Bickson, Danny Dolev
Fixing Convergence of Gaussian Belief Propagation CoRR (2009)
Danny Dolev, Danny Bickson, Jason K. Johnson
Fixing convergence of Gaussian belief propagation. ISIT (2009)
Jason K. Johnson, Vladimir Y. Chernyak, Michael Chertkov
Orbit-product representation and correction of Gaussian belief propagation. ICML (2009)
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)
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)
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)
Jason K. Johnson, Venkat Chandrasekaran, Alan S. Willsky
Learning Markov Structure by Maximum Entropy Relaxation. AISTATS (2007)
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky
GMRF Variance Approximation using Splicedwavelet Bases. ICASSP (3) (2007)
Venkat Chandrasekaran, Jason K. Johnson, Alan S. Willsky
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis. NIPS (2007)
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky
Lagrangian Relaxation for MAP Estimation in Graphical Models CoRR (2007)
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky
Low-Rank Variance Estimation in Large-Scale Gmrf Models. ICASSP (3) (2006)
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky
Walk-Sums and Belief Propagation in Gaussian Graphical Models. J. Mach. Learn. Res. 7 (2006)
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Willsky
Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation. NIPS (2005)

Jason K. Johnson.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jason K. Johnson