메뉴 건너뛰기




Volumn 2, Issue January, 2014, Pages 1727-1735

Probabilistic low-rank matrix completion on finite alphabets

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFIERS; COLLABORATIVE FILTERING; IMAGE PROCESSING; INFORMATION SCIENCE; LEARNING SYSTEMS; RECOMMENDER SYSTEMS;

EID: 84937863790     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (36)

References (22)
  • 4
    • 77951291046 scopus 로고    scopus 로고
    • A singular value thresholding algorithm for matrix completion
    • J-F. Cai, E. J. Candès, and Z. Shen. A singular value thresholding algorithm for matrix completion. SIAM Journal on Optimization, 20(4): 1956-1982, 2010.
    • (2010) SIAM Journal on Optimization , vol.20 , Issue.4 , pp. 1956-1982
    • Cai, J.-F.1    Candès, E.J.2    Shen, Z.3
  • 5
    • 84937924107 scopus 로고    scopus 로고
    • Matrix completion via max-norm constrained optimization
    • T. T. Cai and W-X. Zhou. Matrix completion via max-norm constrained optimization. CoRR, abs/1303.0341, 2013.
    • (2013) CoRR, Abs/1303.0341
    • Cai, T.T.1    Zhou, W.-X.2
  • 6
    • 84893492266 scopus 로고    scopus 로고
    • A max-norm constrained minimization approach to 1-bit matrix completion
    • T. T. Cai and W-X. Zhou. A max-norm constrained minimization approach to 1-bit matrix completion. J. Mach. Learn. Res., 14: 3619-3647, 2013.
    • (2013) J. Mach. Learn. Res. , vol.14 , pp. 3619-3647
    • Cai, T.T.1    Zhou, W.-X.2
  • 7
    • 77952741387 scopus 로고    scopus 로고
    • Matrix completion with noise
    • E. J. Candès and Y. Plan. Matrix completion with noise. Proceedings of the IEEE, 98(6): 925-936, 2010.
    • (2010) Proceedings of the IEEE , vol.98 , Issue.6 , pp. 925-936
    • Candès, E.J.1    Plan, Y.2
  • 9
    • 84866721491 scopus 로고    scopus 로고
    • Lifted coordinate descent for learning with trace-norm regularization
    • M. Dudík, Z. Harchaoui, and J. Malick. Lifted coordinate descent for learning with trace-norm regularization. In AISTATS, 2012.
    • (2012) AISTATS
    • Dudík, M.1    Harchaoui, Z.2    Malick, J.3
  • 11
    • 85162455237 scopus 로고    scopus 로고
    • Learning with the weighted trace-norm under arbitrary sampling distributions
    • R. Foygel, R. Salakhutdinov, O. Shamir, and N. Srebro. Learning with the weighted trace-norm under arbitrary sampling distributions. In NIPS, pages 2133-2141, 2011.
    • (2011) NIPS , pp. 2133-2141
    • Foygel, R.1    Salakhutdinov, R.2    Shamir, O.3    Srebro, N.4
  • 12
    • 0004236492 scopus 로고    scopus 로고
    • Johns Hopkins University Press, Baltimore, MD, fourth edition
    • G. H. Golub and C. F. van Loan. Matrix computations. Johns Hopkins University Press, Baltimore, MD, fourth edition, 2013.
    • (2013) Matrix Computations
    • Golub, G.H.1    Van Loan, C.F.2
  • 13
    • 79951886985 scopus 로고    scopus 로고
    • Recovering low-rank matrices from few coefficients in any basis
    • IEEE Transactions on
    • D. Gross. Recovering low-rank matrices from few coefficients in any basis. Information Theory, IEEE Transactions on, 57(3): 1548-1566, 2011.
    • (2011) Information Theory , vol.57 , Issue.3 , pp. 1548-1566
    • Gross, D.1
  • 14
    • 84919674192 scopus 로고    scopus 로고
    • Conditional gradient algorithms for norm-regularized smooth convex optimization
    • Z. Harchaoui, A. Juditsky, and A. Nemirovski. Conditional gradient algorithms for norm-regularized smooth convex optimization. Mathematical Programming, pages 1-38, 2014.
    • (2014) Mathematical Programming , pp. 1-38
    • Harchaoui, Z.1    Juditsky, A.2    Nemirovski, A.3
  • 16
    • 84893673569 scopus 로고    scopus 로고
    • Noisy low-rank matrix completion with general sampling distribution
    • 02
    • O. Klopp. Noisy low-rank matrix completion with general sampling distribution. Bernoulli, 2(1): 282-303, 02 2014.
    • (2014) Bernoulli , vol.2 , Issue.1 , pp. 282-303
    • Klopp, O.1
  • 17
    • 82655171609 scopus 로고    scopus 로고
    • Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion
    • V. Koltchinskii, A. B. Tsybakov, and K. Lounici. Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion. Ann. Statist., 39(5): 2302-2329, 2011.
    • (2011) Ann. Statist. , vol.39 , Issue.5 , pp. 2302-2329
    • Koltchinskii, V.1    Tsybakov, A.B.2    Lounici, K.3
  • 18
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Y. Koren, R. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. Computer, 42(8): 30-37, 2009.
    • (2009) Computer , vol.42 , Issue.8 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 19
    • 77956944781 scopus 로고    scopus 로고
    • Spectral regularization algorithms for learning large incomplete matrices
    • R. Mazumder, T. Hastie, and R. Tibshirani. Spectral regularization algorithms for learning large incomplete matrices. J. Mach. Learn. Res., 11: 2287-2322, 2010.
    • (2010) J. Mach. Learn. Res. , vol.11 , pp. 2287-2322
    • Mazumder, R.1    Hastie, T.2    Tibshirani, R.3
  • 20
    • 84862020232 scopus 로고    scopus 로고
    • Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
    • S. Negahban and M. J. Wainwright. Restricted strong convexity and weighted matrix completion: optimal bounds with noise. J. Mach. Learn. Res., 13: 1665-1697, 2012.
    • (2012) J. Mach. Learn. Res. , vol.13 , pp. 1665-1697
    • Negahban, S.1    Wainwright, M.J.2
  • 21
    • 84880089568 scopus 로고    scopus 로고
    • Parallel stochastic gradient algorithms for large-scale matrix completion
    • B. Recht and C. Ré. Parallel stochastic gradient algorithms for large-scale matrix completion. Mathematical Programming Computation, 5(2): 201-226, 2013.
    • (2013) Mathematical Programming Computation , vol.5 , Issue.2 , pp. 201-226
    • Recht, B.1    Ré, C.2
  • 22
    • 84898936228 scopus 로고    scopus 로고
    • Probabilistic low-rank matrix completion with adaptive spectral regularization algorithms
    • A. Todeschini, F. Caron, and M. Chavent. Probabilistic low-rank matrix completion with adaptive spectral regularization algorithms. In NIPS, pages 845-853, 2013.
    • (2013) NIPS , pp. 845-853
    • Todeschini, A.1    Caron, F.2    Chavent, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.