-
1
-
-
34247228045
-
Fast computation of low-rank matrix approximations
-
D. Achlioptas and F. McSherry. Fast computation of low-rank matrix approximations. Journal of the ACM, 54(2):9, 2007.
-
(2007)
Journal of the ACM
, vol.54
, Issue.2
, pp. 9
-
-
Achlioptas, D.1
McSherry, F.2
-
3
-
-
33750091599
-
A fast random sampling algorithm for sparsifying matrices
-
Springer
-
S. Arora, E. Hazan, and S. Kale. A fast random sampling algorithm for sparsifying matrices. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, pages 272-279. Springer, 2006.
-
(2006)
Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques
, pp. 272-279
-
-
Arora, S.1
Hazan, E.2
Kale, S.3
-
5
-
-
84868355170
-
Weighted eigenfunction estimates with applications to compressed sensing
-
N. Burq, S. Dyatlov, R. Ward, and M. Zworski. Weighted eigenfunction estimates with applications to compressed sensing. SIAM Journal on Mathematical Analysis, 44(5):3481-3501, 2012.
-
(2012)
SIAM Journal on Mathematical Analysis
, vol.44
, Issue.5
, pp. 3481-3501
-
-
Burq, N.1
Dyatlov, S.2
Ward, R.3
Zworski, M.4
-
6
-
-
77951291046
-
A singular value thresholding algorithm for matrix completion
-
J. Cai, E. 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.1
Candès, E.2
Shen, Z.3
-
7
-
-
77952741387
-
Matrix completion with noise
-
E. 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.1
Plan, Y.2
-
9
-
-
77951528523
-
The power of convex relaxation: Near-optimal matrix completion
-
E. Candès and T. Tao. The power of convex relaxation: Near-optimal matrix completion. IEEE Transactions on Information Theory, 56(5):2053-2080, 2010.
-
(2010)
IEEE Transactions on Information Theory
, vol.56
, Issue.5
, pp. 2053-2080
-
-
Candès, E.1
Tao, T.2
-
10
-
-
79960675858
-
Robust principal component analysis?
-
E. Candès, X. Li, Y. Ma, and J. Wright. Robust principal component analysis? Journal of the ACM, 58(3):11, 2011.
-
(2011)
Journal of the ACM
, vol.58
, Issue.3
, pp. 11
-
-
Candès, E.1
Li, X.2
Ma, Y.3
Wright, J.4
-
11
-
-
79960591511
-
Rank-sparsity incoherence for matrix decomposition
-
V. Chandrasekaran, S. Sanghavi, P. Parrilo, and A. Willsky. Rank-sparsity incoherence for matrix decomposition. SIAM Journal on Optimization, 21(2):572-596, 2011.
-
(2011)
SIAM Journal on Optimization
, vol.21
, Issue.2
, pp. 572-596
-
-
Chandrasekaran, V.1
Sanghavi, S.2
Parrilo, P.3
Willsky, A.4
-
12
-
-
84972496372
-
Influential observations, high leverage points, and outliers in linear regression
-
S. Chatterjee and A. Hadi. Influential observations, high leverage points, and outliers in linear regression. Statistical Science, 1(3):379-393, 1986.
-
(1986)
Statistical Science
, vol.1
, Issue.3
, pp. 379-393
-
-
Chatterjee, S.1
Hadi, A.2
-
13
-
-
84928546844
-
Incoherence-optimal matrix completion
-
Y. Chen. Incoherence-optimal matrix completion. IEEE Transactions on Information Theory, 61(5):2909-2923, 2015.
-
(2015)
IEEE Transactions on Information Theory
, vol.61
, Issue.5
, pp. 2909-2923
-
-
Chen, Y.1
-
14
-
-
84879946361
-
Low-rank matrix recovery from errors and erasures
-
Y. Chen, A. Jalali, S. Sanghavi, and C. Caramanis. Low-rank matrix recovery from errors and erasures. IEEE Transactions on Information Theory, 59(7):4324-4337, 2013.
-
(2013)
IEEE Transactions on Information Theory
, vol.59
, Issue.7
, pp. 4324-4337
-
-
Chen, Y.1
Jalali, A.2
Sanghavi, S.3
Caramanis, C.4
-
15
-
-
78651554345
-
A note on element-wise matrix sparsification via a matrix-valued Bernstein inequality
-
P. Drineas and A. Zouzias. A note on element-wise matrix sparsification via a matrix-valued Bernstein inequality. Information Processing Letters, 111(8):385-389, 2011.
-
(2011)
Information Processing Letters
, vol.111
, Issue.8
, pp. 385-389
-
-
Drineas, P.1
Zouzias, A.2
-
16
-
-
84873435224
-
Fast approximation of matrix coherence and statistical leverage
-
P. Drineas, M. Magdon-Ismail, M. Mahoney, and D. Woodruff. Fast approximation of matrix coherence and statistical leverage. Journal of Machine Learning Research, 13:3475-3506, 2012.
-
(2012)
Journal of Machine Learning Research
, vol.13
, pp. 3475-3506
-
-
Drineas, P.1
Magdon-Ismail, M.2
Mahoney, M.3
Woodruff, D.4
-
18
-
-
85162455237
-
Learning with the weighted tracenorm under arbitrary sampling distributions
-
R. Foygel, O. Shamir, N. Srebro, and R. Salakhutdinov. Learning with the weighted tracenorm under arbitrary sampling distributions. In Advances in Neural Information Processing Systems 24, pages 2133-2141. 2011.
-
(2011)
Advances in Neural Information Processing Systems
, vol.24
, pp. 2133-2141
-
-
Foygel, R.1
Shamir, O.2
Srebro, N.3
Salakhutdinov, R.4
-
19
-
-
79951886985
-
Recovering low-rank matrices from few coefficients in any basis
-
D. Gross. Recovering low-rank matrices from few coefficients in any basis. IEEE Transactions on Information Theory, 57(3):1548-1566, 2011.
-
(2011)
IEEE Transactions on Information Theory
, vol.57
, Issue.3
, pp. 1548-1566
-
-
Gross, D.1
-
21
-
-
77956897560
-
Matrix completion from a few entries
-
R. H. Keshavan, A. Montanari, and S. Oh. Matrix completion from a few entries. IEEE Transactions on Information Theory, 56(6):2980-2998, 2010.
-
(2010)
IEEE Transactions on Information Theory
, vol.56
, Issue.6
, pp. 2980-2998
-
-
Keshavan, R.H.1
Montanari, A.2
Oh, S.3
-
22
-
-
84891808424
-
Stable and robust sampling strategies for compressive imaging
-
F. Krahmer and R. Ward. Stable and robust sampling strategies for compressive imaging. IEEE Transactions on Image Processing, 23(2):612-622, 2014.
-
(2014)
IEEE Transactions on Image Processing
, vol.23
, Issue.2
, pp. 612-622
-
-
Krahmer, F.1
Ward, R.2
-
26
-
-
84856463292
-
Randomized algorithms for matrices and data
-
M. Mahoney. Randomized algorithms for matrices and data. Foundations and Trends in Machine Learning, 3(2):123-224, 2011.
-
(2011)
Foundations and Trends in Machine Learning
, vol.3
, Issue.2
, pp. 123-224
-
-
Mahoney, M.1
-
27
-
-
84862020232
-
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
-
S. Negahban and M. Wainwright. Restricted strong convexity and weighted matrix completion: Optimal bounds with noise. Journal of Machine Learning Research, 13:1665-1697, 2012.
-
(2012)
Journal of Machine Learning Research
, vol.13
, pp. 1665-1697
-
-
Negahban, S.1
Wainwright, M.2
-
29
-
-
84856009825
-
A simpler approach to matrix completion
-
B. Recht. A simpler approach to matrix completion. Journal of Machine Learning Research, 12:3413-3430, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 3413-3430
-
-
Recht, B.1
-
30
-
-
84855597147
-
Graph sparsification by effective resistances
-
D. Spielman and N. Srivastava. Graph sparsification by effective resistances. SIAM Journal on Computing, 40(6):1913-1926, 2011.
-
(2011)
SIAM Journal on Computing
, vol.40
, Issue.6
, pp. 1913-1926
-
-
Spielman, D.1
Srivastava, N.2
-
31
-
-
85161986396
-
Collaborative filtering in a non-uniform world: Learning with the weighted trace norm
-
N. Srebro and R. Salakhutdinov. Collaborative filtering in a non-uniform world: Learning with the weighted trace norm. In Advances in Neural Information Processing Systems, pages 2056-2064, 2010.
-
(2010)
Advances in Neural Information Processing Systems
, pp. 2056-2064
-
-
Srebro, N.1
Salakhutdinov, R.2
-
32
-
-
84864315555
-
User-friendly tail bounds for sums of random matrices
-
J. Tropp. User-friendly tail bounds for sums of random matrices. Foundations of Computational Mathematics, 12(4):389-434, 2012.
-
(2012)
Foundations of Computational Mathematics
, vol.12
, Issue.4
, pp. 389-434
-
-
Tropp, J.1
-
33
-
-
84877881686
-
Reweighted h minimization method for stochastic elliptic differential equations
-
X. Yang and G. Karniadakis. Reweighted h minimization method for stochastic elliptic differential equations. Journal of Computational Physics, 248:87-108, 2013.
-
(2013)
Journal of Computational Physics
, vol.248
, pp. 87-108
-
-
Yang, X.1
Karniadakis, G.2
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