Andrew Gelfand

According to our database, Andrew Gelfand authored at least 14 papers between 2007 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2018

Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality.

Sungsoo Ahn, Michael Chertkov, Andrew E. Gelfand, Sejun Park, Jinwoo Shin

IEEE Trans. Inf. Theory, 2018

2016

Geographic Segmentation via Latent Poisson Factor Model.

Rose Yu, Andrew Gelfand, Suju Rajan, Cyrus Shahabi, Yan Liu

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2013

Loop Calculus and Bootstrap-Belief Propagation for Perfect Matchings on Arbitrary Graphs.

Michael Chertkov, Andrew Gelfand, Jinwoo Shin

CoRR, 2013

A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles.

Jinwoo Shin, Andrew E. Gelfand, Michael Chertkov

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Belief Propagation for Linear Programming.

Andrew E. Gelfand, Jinwoo Shin, Michael Chertkov

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012

A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation.

Max Welling, Andrew Gelfand, Alexander Ihler

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Generalized Belief Propagation on Tree Robust Structured Region Graphs.

Andrew Gelfand, Max Welling

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011

Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation.

Yutian Chen, Andrew Gelfand, Charless C. Fowlkes, Max Welling

Proceedings of the IEEE International Conference on Computer Vision, 2011

Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models.

Kalev Kask, Andrew Gelfand, Lars Otten, Rina Dechter

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Stopping Rules for Randomized Greedy Triangulation Schemes.

Andrew Gelfand, Kalev Kask, Rina Dechter

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

BEEM : Bucket Elimination with External Memory.

Kalev Kask, Rina Dechter, Andrew Gelfand

Proceedings of the UAI 2010, 2010

On Herding and the Perceptron Cycling Theorem.

Andrew Gelfand, Yutian Chen, Laurens van der Maaten, Max Welling

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Performance evaluation of decentralized estimation systems with uncertain communication.

Andrew E. Gelfand, Christopher Smith, Mike Colony, Christopher Bowman

Proceedings of the 12th International Conference on Information Fusion, 2009

2007

Introduction of the hybrid inference tool (HIT).

K. David Lee, Andrew E. Gelfand, Eric Wiesenfeld, Brian Stepnitz

Proceedings of the 10th International Conference on Information Fusion, 2007