메뉴 건너뛰기




Volumn 22, Issue , 2012, Pages 327-336

Lifted coordinate descent for learning with trace-norm regularization

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 84954222977     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (60)

References (40)
  • 1
  • 2
    • 46249124832 scopus 로고    scopus 로고
    • Consistency of trace norm minimization
    • F. Bach. Consistency of trace norm minimization. JMLR, 9:1019-1048, 2008.
    • (2008) JMLR , vol.9 , pp. 1019-1048
    • Bach, F.1
  • 3
    • 85014561619 scopus 로고    scopus 로고
    • A fast iterative shrinkage-thresholding algorithm for linear inverse problems
    • A. Beck and M. Teboulle. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM Journal on Imaging Sciences, 2(1):183-202, 2009.
    • (2009) SIAM Journal on Imaging Sciences , vol.2 , Issue.1 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 8
    • 31844453941 scopus 로고    scopus 로고
    • A machine learning approach to conjoint analysis
    • O. Chapelle and Z. Harchaoui. A machine learning approach to conjoint analysis. In Adv. NIPS. 2005.
    • (2005) Adv. NIPS.
    • Chapelle, O.1    Harchaoui, Z.2
  • 10
    • 78649942632 scopus 로고    scopus 로고
    • Coresets sparse greedy approximation, and the Frank-wolfe algorithm
    • K. L. Clarkson. Coresets, sparse greedy approximation, and the Frank-wolfe algorithm. In Proc. SODA, 2008.
    • (2008) Proc. SODA
    • Clarkson, K.L.1
  • 11
  • 14
    • 34250663051 scopus 로고    scopus 로고
    • Maximum entropy density estimation with generalized regularization and an application to species distribution modeling
    • M. Dudik, S. J. Phillips, and R. E. Schapire. Maximum entropy density estimation with generalized regularization and an application to species distribution modeling. JMLR, 8:1217-1260, 2007.
    • (2007) JMLR , vol.8 , pp. 1217-1260
    • Dudik, M.1    Phillips, S.J.2    Schapire, R.E.3
  • 17
    • 77950537175 scopus 로고    scopus 로고
    • Regu-larization paths for generalized linear models via coordinate descent
    • J. Friedman, T. Hastie, and R. Tibshirani. Regu-larization paths for generalized linear models via coordinate descent. Journal of Statistical Software, 33(1), 2010.
    • (2010) Journal of Statistical Software , vol.33 , pp. 1
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 21
    • 77951291046 scopus 로고    scopus 로고
    • A singular value thresholding algorithm for matrix completion
    • E. J. C. J-F Cai and Z. Shen. A singular value thresholding algorithm for matrix completion. SIAM J. Optimization, 20(4):1956-1982, 2008.
    • (2008) SIAM J. Optimization , vol.20 , Issue.4 , pp. 1956-1982
    • Cai, E.J.C.J.-F.1    Shen, Z.2
  • 22
    • 77956535889 scopus 로고    scopus 로고
    • A simple algorithm for nuclear norm regularized problems
    • M. Jaggi and M. Sulovsky. A simple algorithm for nuclear norm regularized problems. In ICML, 2010.
    • (2010) ICML
    • Jaggi, M.1    Sulovsky, M.2
  • 23
    • 0003859603 scopus 로고
    • London Mathematical Society Student Texts. Cambridge University Press. XI
    • G. Jameson. Summing and nuclear norms in Ba-nach space theory. London Mathematical Society Student Texts, 8. Cambridge University Press. XI, 1987.
    • (1987) Summing and Nuclear Norms in Ba-nach Space Theory , vol.8
    • Jameson, G.1
  • 24
    • 71149103464 scopus 로고    scopus 로고
    • An accelerated gradient method for trace norm minimization
    • S. Ji and J. Ye. An accelerated gradient method for trace norm minimization. In ICML, 2009.
    • (2009) ICML
    • Ji, S.1    Ye, J.2
  • 25
    • 0002550596 scopus 로고    scopus 로고
    • Functional gradient techniques for combining hypotheses
    • B. Scholkopf, A. Smola, P. Bartlett, and D. Schuurmans, editors. MIT Press
    • L. Mason, P. Bartlett, J. Baxter, and M. Frean. Functional gradient techniques for combining hypotheses. In B. Scholkopf, A. Smola, P. Bartlett, and D. Schuurmans, editors, Adv. Large Margin Classifiers. MIT Press, 2000.
    • (2000) Adv. Large Margin Classifiers
    • Mason, L.1    Bartlett, P.2    Baxter, J.3    Frean, M.4
  • 28
    • 77953322499 scopus 로고    scopus 로고
    • Joint covariate selection and joint subspace selection for multiple classification problems
    • G. Obozinski, B. Taskar, and M. I. Jordan. Joint covariate selection and joint subspace selection for multiple classification problems. Statistics and Computing, 2010.
    • (2010) Statistics and Computing
    • Obozinski, G.1    Taskar, B.2    Jordan, M.I.3
  • 30
    • 79251515185 scopus 로고    scopus 로고
    • Trace norm regularization: Reformulations, algorithms, and multi-task learning
    • T. K. Pong, S. J. Paul Tseng, and J. Ye. Trace norm regularization: Reformulations, algorithms, and multi-task learning. SIAM J. Optimization, 20(6):3465-3489, 2010.
    • (2010) SIAM J. Optimization , vol.20 , Issue.6 , pp. 3465-3489
    • Pong, T.K.1    Paul Tseng, S.J.2    Ye, J.3
  • 31
    • 78549288866 scopus 로고    scopus 로고
    • Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization
    • B. Recht, M. Fazel, and P. Parrilo. Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization. SIAM Review, 52(3):471-501, 2010.
    • (2010) SIAM Review , vol.52 , Issue.3 , pp. 471-501
    • Recht, B.1    Fazel, M.2    Parrilo, P.3
  • 33
    • 80053458764 scopus 로고    scopus 로고
    • Large-scale convex minimization with a low-rank constraint
    • S. Shalev-Shwartz, A. Gonen, and O. Shamir. Large-scale convex minimization with a low-rank constraint. In ICML, 2011.
    • (2011) ICML
    • Shalev-Shwartz, S.1    Gonen, A.2    Shamir, O.3
  • 37
    • 85162449444 scopus 로고    scopus 로고
    • Greedy algorithms for structurally constrained high dimensional problems
    • A. Tewari, P. K. Ravikumar, and I. S. Dhillon. Greedy algorithms for structurally constrained high dimensional problems. In Adv. NIPS, 2011.
    • (2011) Adv. NIPS
    • Tewari, A.1    Ravikumar, P.K.2    Dhillon, I.S.3
  • 39
    • 79551500651 scopus 로고    scopus 로고
    • A comparison of optimization methods and software for large-scale l1-regularized linear classification
    • 11, December
    • G.-X. Yuan, K.-W. Chang, C.-J. Hsieh, and C.-J. Lin. A comparison of optimization methods and software for large-scale l1-regularized linear classification. JMLR, 11, December 2010.
    • (2010) JMLR
    • Yuan, G.-X.1    Chang, K.-W.2    Hsieh, C.-J.3    Lin, C.-J.4
  • 40
    • 0037355948 scopus 로고    scopus 로고
    • Sequential greedy approximation for certain convex optimization problems
    • T. Zhang. Sequential greedy approximation for certain convex optimization problems. IEEE Transaction on Information Theory, 49:682-691, 2003.
    • (2003) IEEE Transaction on Information Theory , vol.49 , pp. 682-691
    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.