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Volumn 2015-January, Issue , 2015, Pages 532-540

Barrier Frank-Wolfe for marginal inference

Author keywords

[No Author keywords available]

Indexed keywords

GRADIENT METHODS; INFERENCE ENGINES; INFORMATION SCIENCE; TREES (MATHEMATICS);

EID: 84965120278     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (45)

References (30)
  • 4
    • 0000013152 scopus 로고
    • On the statistical analysis of dirty pictures
    • J. Besag. On the statistical analysis of dirty pictures. J R Stat Soc Series B, 1986.
    • (1986) J R Stat Soc Series B
    • Besag, J.1
  • 5
    • 0042004575 scopus 로고    scopus 로고
    • Class-specific, top-down segmentation
    • E. Borenstein and S. Ullman. Class-specific, top-down segmentation. In ECCV, 2002.
    • (2002) ECCV
    • Borenstein, E.1    Ullman, S.2
  • 6
    • 4344598245 scopus 로고    scopus 로고
    • An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
    • Y. Boykov and V. Kolmogorov. An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. TPAMI, 2004.
    • (2004) TPAMI
    • Boykov, Y.1    Kolmogorov, V.2
  • 7
    • 84906502607 scopus 로고    scopus 로고
    • Learning graphical model parameters with approximate marginal inference
    • J. Domke. Learning graphical model parameters with approximate marginal inference. TPAMI, 2013.
    • (2013) TPAMI
    • Domke, J.1
  • 8
    • 84897479423 scopus 로고    scopus 로고
    • Taming the curse of dimensionality: Discrete integration by hashing and optimization
    • S. Ermon, C. P. Gomes, A. Sabharwal, and B. Selman. Taming the curse of dimensionality: Discrete integration by hashing and optimization. In ICML, 2013.
    • (2013) ICML
    • Ermon, S.1    Gomes, C.P.2    Sabharwal, A.3    Selman, B.4
  • 10
    • 80053202574 scopus 로고    scopus 로고
    • Convergent propagation algorithms via oriented trees
    • A. Globerson and T. Jaakkola. Convergent propagation algorithms via oriented trees. In UAI, 2007.
    • (2007) UAI
    • Globerson, A.1    Jaakkola, T.2
  • 12
    • 84867112240 scopus 로고    scopus 로고
    • On the partition function and random maximum a-posteriori perturbations
    • T. Hazan and T. Jaakkola. On the partition function and random maximum a-posteriori perturbations. In ICML, 2012.
    • (2012) ICML
    • Hazan, T.1    Jaakkola, T.2
  • 13
    • 84897524603 scopus 로고    scopus 로고
    • Revisiting Frank-Wolfe: Projection-free sparse convex optimization
    • M. Jaggi. Revisiting Frank-Wolfe: Projection-free sparse convex optimization. In ICML, 2013.
    • (2013) ICML
    • Jaggi, M.1
  • 14
    • 84897564094 scopus 로고    scopus 로고
    • Convergent decomposition solvers for tree-reweighted free energies
    • J. Jancsary and G. Matz. Convergent decomposition solvers for tree-reweighted free energies. In AISTATS, 2011.
    • (2011) AISTATS
    • Jancsary, J.1    Matz, G.2
  • 15
    • 84887352082 scopus 로고    scopus 로고
    • A comparative study of modern inference techniques for discrete energy minimization problems
    • J. Kappes et al. A comparative study of modern inference techniques for discrete energy minimization problems. In CVPR, 2013.
    • (2013) CVPR
    • Kappes, J.1
  • 16
    • 33750129298 scopus 로고    scopus 로고
    • Convergent tree-reweighted message passing for energy minimization
    • V. Kolmogorov. Convergent tree-reweighted message passing for energy minimization. TPAMI, 2006.
    • (2006) TPAMI
    • Kolmogorov, V.1
  • 17
    • 34249656812 scopus 로고    scopus 로고
    • Minimizing nonsubmodular functions with graph cuts-A Review
    • V. Kolmogorov and C. Rother. Minimizing nonsubmodular functions with graph cuts-A Review. TPAMI, 2007.
    • (2007) TPAMI
    • Kolmogorov, V.1    Rother, C.2
  • 19
    • 84965135280 scopus 로고    scopus 로고
    • On the global linear convergence of Frank-Wolfe optimization variants
    • S. Lacoste-Julien and M. Jaggi. On the global linear convergence of Frank-Wolfe optimization variants. In NIPS, 2015.
    • (2015) NIPS
    • Lacoste-Julien, S.1    Jaggi, M.2
  • 20
  • 21
    • 84969508567 scopus 로고    scopus 로고
    • The benefits of learning with strongly convex approximate inference
    • B. London, B. Huang, and L. Getoor. The benefits of learning with strongly convex approximate inference. In ICML, 2015.
    • (2015) ICML
    • London, B.1    Huang, B.2    Getoor, L.3
  • 22
    • 77956951736 scopus 로고    scopus 로고
    • LibDAI: A free and open source C++ library for discrete approximate inference in graphical models
    • J. M. Mooij. libDAI: A free and open source C++ library for discrete approximate inference in graphical models. JMLR, 2010.
    • (2010) JMLR
    • Mooij, J.M.1
  • 24
    • 84856654560 scopus 로고    scopus 로고
    • Perturb-and-map random fields: Using discrete optimization to learn and sample from energy models
    • G. Papandreou and A. Yuille. Perturb-and-map random fields: Using discrete optimization to learn and sample from energy models. In ICCV, 2011.
    • (2011) ICCV
    • Papandreou, G.1    Yuille, A.2
  • 26
    • 0028483915 scopus 로고
    • Finding MAPs for belief networks is NP-hard
    • S. Shimony. Finding MAPs for belief networks is NP-hard. Artificial Intelligence, 1994.
    • (1994) Artificial Intelligence
    • Shimony, S.1
  • 27
    • 85047017527 scopus 로고    scopus 로고
    • New outer bounds on the marginal polytope
    • D. Sontag and T. Jaakkola. New outer bounds on the marginal polytope. In NIPS, 2007.
    • (2007) NIPS
    • Sontag, D.1    Jaakkola, T.2
  • 30
    • 85083952246 scopus 로고    scopus 로고
    • Relaxations for inference in restricted Boltzmann machines
    • S. Wang, R. Frostig, P. Liang, and C. Manning. Relaxations for inference in restricted Boltzmann machines. In ICLR Workshop, 2014.
    • (2014) ICLR Workshop
    • Wang, S.1    Frostig, R.2    Liang, P.3    Manning, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.