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ORCIDAndrew Gelfand
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- affiliation: University of California, Irvine, USA
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2010 – 2019
- 2018
[j1]Sungsoo Ahn
, Michael Chertkov, Andrew E. Gelfand, Sejun Park, Jinwoo Shin:
Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality. IEEE Trans. Inf. Theory 64(3): 1471-1480 (2018)- 2016
- [c12]Rose Yu, Andrew Gelfand, Suju Rajan, Cyrus Shahabi, Yan Liu:
Geographic Segmentation via Latent Poisson Factor Model. WSDM 2016: 357-366 - 2013
- [c11]Andrew E. Gelfand, Jinwoo Shin, Michael Chertkov:
Belief Propagation for Linear Programming. ISIT 2013: 2249-2253 - [c10]Jinwoo Shin, Andrew E. Gelfand, Michael Chertkov:
A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles. NIPS 2013: 2022-2030 - [i6]Andrew Gelfand, Jinwoo Shin, Michael Chertkov:
Belief Propagation for Linear Programming. CoRR abs/1305.4130 (2013) - [i5]Jinwoo Shin, Andrew E. Gelfand, Michael Chertkov:
A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles. CoRR abs/1306.1167 (2013) - [i4]Michael Chertkov, Andrew Gelfand, Jinwoo Shin:
Loop Calculus and Bootstrap-Belief Propagation for Perfect Matchings on Arbitrary Graphs. CoRR abs/1306.1267 (2013) - 2012
- [c9]Andrew Gelfand, Max Welling:
Generalized Belief Propagation on Tree Robust Structured Region Graphs. UAI 2012: 296-305 - [c8]Max Welling, Andrew Gelfand, Alexander Ihler:
A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. UAI 2012: 883-892 - [i3]Kalev Kask, Rina Dechter, Andrew Gelfand:
BEEM : Bucket Elimination with External Memory. CoRR abs/1203.3487 (2012) - [i2]Andrew Gelfand, Max Welling:
Generalized Belief Propagation on Tree Robust Structured Region Graphs. CoRR abs/1210.4857 (2012) - [i1]Max Welling, Andrew E. Gelfand, Alexander Ihler:
A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation. CoRR abs/1210.4916 (2012) - 2011
- [c7]Kalev Kask, Andrew Gelfand, Lars Otten, Rina Dechter:
Pushing the Power of Stochastic Greedy Ordering Schemes for Inference in Graphical Models. AAAI 2011: 54-60 - [c6]Andrew Gelfand, Kalev Kask, Rina Dechter:
Stopping Rules for Randomized Greedy Triangulation Schemes. AAAI 2011: 1043-1048 - [c5]Yutian Chen, Andrew Gelfand, Charless C. Fowlkes, Max Welling:
Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation. ICCV 2011: 2635-2642 - 2010
- [c4]Andrew Gelfand, Yutian Chen, Laurens van der Maaten, Max Welling:
On Herding and the Perceptron Cycling Theorem. NIPS 2010: 694-702 - [c3]Kalev Kask, Rina Dechter, Andrew Gelfand:
BEEM : Bucket Elimination with External Memory. UAI 2010: 268-276
2000 – 2009
- 2009
- [c2]Andrew E. Gelfand, Christopher Smith, Mike Colony, Christopher Bowman:
Performance evaluation of decentralized estimation systems with uncertain communication. FUSION 2009: 786-793 - 2007
- [c1]K. David Lee, Andrew E. Gelfand, Eric Wiesenfeld, Brian Stepnitz:
Introduction of the hybrid inference tool (HIT). FUSION 2007: 1-7
Coauthor Index
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