-
2
-
-
0001184615
-
Harmonic analysis of neural networks
-
E.J. Candès, Harmonic analysis of neural networks, Appl. Comput. Harmon. Anal. 6 (2) (1999) 197-218.
-
(1999)
Appl. Comput. Harmon. Anal.
, vol.6
, Issue.2
, pp. 197-218
-
-
Candès, E.J.1
-
3
-
-
0242679765
-
Ridgelets: Estimating with ridge functions
-
E.J. Candès, Ridgelets: Estimating with ridge functions, Ann. Statist. 31 (5) (2003) 1561-1599.
-
(2003)
Ann. Statist.
, vol.31
, Issue.5
, pp. 1561-1599
-
-
Candès, E.J.1
-
5
-
-
79960675858
-
Robust principal component analysis?
-
E.J. Candès, X. Li, Y. Ma, J. Wright, Robust principal component analysis? J. ACM 58 (3) (2011) 1-37.
-
(2011)
J. ACM
, vol.58
, Issue.3
, pp. 1-37
-
-
Candès, E.J.1
Li, X.2
Ma, Y.3
Wright, J.4
-
6
-
-
84859851440
-
Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements
-
abs/1001.0339
-
E.J. Candès, Y. Plan, Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements, CoRR abs/1001.0339, 2010.
-
(2010)
CoRR
-
-
Candès, E.J.1
Plan, Y.2
-
7
-
-
71049116435
-
Exact matrix completion via convex optimization
-
E.J. Candès, B. Recht, Exact matrix completion via convex optimization, Found. Comput. Math. 9 (6) (2009) 717-772.
-
(2009)
Found. Comput. Math.
, vol.9
, Issue.6
, pp. 717-772
-
-
Candès, E.J.1
Recht, B.2
-
8
-
-
77951528523
-
The power of convex relaxation: Near-optimal matrix completion
-
May
-
E.J. Candès, T. Tao, The power of convex relaxation: near-optimal matrix completion, IEEE Trans. Inform. Theory 56 (May 2010) 2053-2080.
-
(2010)
IEEE Trans. Inform. Theory
, vol.56
, pp. 2053-2080
-
-
Candès, E.J.1
Tao, T.2
-
9
-
-
84857356357
-
Capturing ridge functions in high dimensions from point queries
-
A. Cohen, I. Daubechies, R.A. DeVore, G. Kerkyacharian, D. Picard, Capturing ridge functions in high dimensions from point queries, Constr. Approx. 35 (2) (2012) 225-243.
-
(2012)
Constr. Approx.
, vol.35
, Issue.2
, pp. 225-243
-
-
Cohen, A.1
Daubechies, I.2
DeVore, R.A.3
Kerkyacharian, G.4
Picard, D.5
-
11
-
-
0002531537
-
Projection based regression and a duality with kernel methods
-
D.L. Donoho, I.M. Johnstone, Projection based regression and a duality with kernel methods, Ann. Statist. 17 (1989) 58-106.
-
(1989)
Ann. Statist.
, vol.17
, pp. 58-106
-
-
Donoho, D.L.1
Johnstone, I.M.2
-
12
-
-
84858753339
-
Learning functions of few arbitrary linear parameters in high dimensions
-
M. Fornasier, K. Schnass, J. Vybíral, Learning functions of few arbitrary linear parameters in high dimensions, Found. Comput. Math. 12 (2) (2012) 229-262.
-
(2012)
Found. Comput. Math.
, vol.12
, Issue.2
, pp. 229-262
-
-
Fornasier, M.1
Schnass, K.2
Vybíral, J.3
-
14
-
-
0041753016
-
On almost linearity of low dimensional projections from high dimensional data
-
P. Hall, K.C. Li, On almost linearity of low dimensional projections from high dimensional data, Ann. Statist. (1993) 867-889.
-
(1993)
Ann. Statist.
, pp. 867-889
-
-
Hall, P.1
Li, K.C.2
-
16
-
-
0000263797
-
Projection pursuit
-
P.J. Huber, Projection pursuit, Ann. Statist. 13 (1985) 435-475.
-
(1985)
Ann. Statist.
, vol.13
, pp. 435-475
-
-
Huber, P.J.1
-
17
-
-
78650166948
-
Sparsity in multiple kernel learning
-
V. Koltchinskii, M. Yuan, Sparsity in multiple kernel learning, Ann. Statist. 38 (6) (2010) 3660-3695.
-
(2010)
Ann. Statist.
, vol.38
, Issue.6
, pp. 3660-3695
-
-
Koltchinskii, V.1
Yuan, M.2
-
18
-
-
0034287154
-
Adaptive estimation of a quadratic functional by model selection
-
B. Laurent, P. Massart, Adaptive estimation of a quadratic functional by model selection, Ann. Statist. 28 (5) (2000) 1302-1338.
-
(2000)
Ann. Statist.
, vol.28
, Issue.5
, pp. 1302-1338
-
-
Laurent, B.1
Massart, P.2
-
19
-
-
77955747588
-
ADMiRA: Atomic decomposition for minimum rank approximation
-
K. Lee, Y. Bresler, ADMiRA: Atomic decomposition for minimum rank approximation, IEEE Trans. Inform. Theory 56 (9) (2010) 4402-4416.
-
(2010)
IEEE Trans. Inform. Theory
, vol.56
, Issue.9
, pp. 4402-4416
-
-
Lee, K.1
Bresler, Y.2
-
20
-
-
84945116550
-
Sliced inverse regression for dimension reduction
-
K.C. Li, Sliced inverse regression for dimension reduction, J. Amer. Statist. Assoc. (1991) 316-327.
-
(1991)
J. Amer. Statist. Assoc.
, pp. 316-327
-
-
Li, K.C.1
-
21
-
-
84884043864
-
-
Princeton University Press, Princeton, NJ
-
Q. Li, J. Racine, Nonparametric Econometrics: Theory and Practice, Princeton University Press, Princeton, NJ, 2007.
-
(2007)
Nonparametric Econometrics: Theory and Practice
-
-
Li, Q.1
Racine, J.2
-
22
-
-
33847350805
-
Component selection and smoothing in multivariate nonparametric regression
-
Y. Lin, H.H. Zhang, Component selection and smoothing in multivariate nonparametric regression, Ann. Statist. 34 (5) (2006) 2272-2297.
-
(2006)
Ann. Statist.
, vol.34
, Issue.5
, pp. 2272-2297
-
-
Lin, Y.1
Zhang, H.H.2
-
23
-
-
84972564972
-
Optimal reconstruction of a function from its projections
-
B.F. Logan, L.A. Shepp, Optimal reconstruction of a function from its projections, Duke Math. J. 42 (1975) 645-659.
-
(1975)
Duke Math. J.
, vol.42
, pp. 645-659
-
-
Logan, B.F.1
Shepp, L.A.2
-
24
-
-
73949083829
-
High-dimensional additive modeling
-
L. Meier, S. Van De Geer, P. Bühlmann, High-dimensional additive modeling, Ann. Statist. 37 (6B) (2009) 3779-3821.
-
(2009)
Ann. Statist.
, vol.37
, Issue.6
, pp. 3779-3821
-
-
Meier, L.1
Van De Geer, S.2
Bühlmann, P.3
-
25
-
-
84860602643
-
Guaranteed rank minimization via singular value projection
-
abs/0909.5457
-
R. Meka, P. Jain, I.S. Dhillon, Guaranteed rank minimization via singular value projection, CoRR abs/0909.5457, 2009.
-
(2009)
CoRR
-
-
Meka, R.1
Jain, P.2
Dhillon, I.S.3
-
26
-
-
56549118742
-
Minimal errors for strong and weak approximation of stochastic differential equations
-
Th. Muller-Gronbach, K. Ritter, Minimal errors for strong and weak approximation of stochastic differential equations, in: Monte Carlo and Quasi-Monte Carlo Methods, 2008, pp. 53-82.
-
(2008)
Monte Carlo and Quasi-Monte Carlo Methods
, pp. 53-82
-
-
Muller-Gronbach, T.1
Ritter, K.2
-
27
-
-
67649103535
-
Approximation of infinitely differentiable multivariate functions is intractable
-
August
-
E. Novak, H. Wozniakowski, Approximation of infinitely differentiable multivariate functions is intractable, J. Complexity 25 (August 2009) 398-404.
-
(2009)
J. Complexity
, vol.25
, pp. 398-404
-
-
Novak, E.1
Wozniakowski, H.2
-
28
-
-
85011438572
-
Approximation theory of the MLP model in neural networks
-
A. Pinkus, Approximation theory of the MLP model in neural networks, Acta Numer. 8 (1999) 143-195.
-
(1999)
Acta Numer
, vol.8
, pp. 143-195
-
-
Pinkus, A.1
-
30
-
-
70350092487
-
Sparse additive models
-
P. Ravikumar, J. Lafferty, H. Liu, L. Wasserman, Sparse additive models, J. R. Stat. Soc. Ser. B Stat. Methodol. 71 (5) (2009) 1009-1030.
-
(2009)
J. R. Stat. Soc. Ser. B Stat. Methodol.
, vol.71
, Issue.5
, pp. 1009-1030
-
-
Ravikumar, P.1
Lafferty, J.2
Liu, H.3
Wasserman, L.4
-
31
-
-
78549288866
-
Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization
-
B. Recht, M. Fazel, P.A. Parrilo, Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization, SIAM Rev. 52 (2010) 471-501.
-
(2010)
SIAM Rev
, vol.52
, pp. 471-501
-
-
Recht, B.1
Fazel, M.2
Parrilo, P.A.3
-
32
-
-
70349438902
-
-
Technical report, Czech Academy of Sciences, Prague, Czech Republic
-
J. Rohn, A handbook of results on interval linear problems, Technical report, Czech Academy of Sciences, Prague, Czech Republic, 2005.
-
(2005)
A Handbook of Results on Interval Linear Problems
-
-
Rohn, J.1
-
33
-
-
0003449868
-
-
Springer Verlag, New York/Berlin
-
n, Springer Verlag, New York/Berlin, 1980.
-
(1980)
n
-
-
Rudin, W.1
-
34
-
-
0004220675
-
-
Academic Press, New York
-
J.F. Traub, G.W. Wasilkowski, H. Wozniakowski, Information-Based Complexity, Academic Press, New York, 1988.
-
(1988)
Information-Based Complexity
-
-
Traub, J.F.1
Wasilkowski, G.W.2
Wozniakowski, H.3
-
37
-
-
0002790288
-
Perturbation bounds in connection with singular value decomposition
-
P.A. Wedin, Perturbation bounds in connection with singular value decomposition, BIT 12 (1972) 99-111.
-
(1972)
BIT
, vol.12
, pp. 99-111
-
-
Wedin, P.A.1
-
38
-
-
0001117305
-
Das asymptotische verteilungsgesetz der eigenwerte linearer partieller differentialgleichungen (mit einer anwendung auf die theorie der hohlraumstrahlung)
-
H. Weyl, Das asymptotische verteilungsgesetz der eigenwerte linearer partieller differentialgleichungen (mit einer anwendung auf die theorie der hohlraumstrahlung), Math. Ann. 71 (1912) 441-479.
-
(1912)
Math. Ann.
, vol.71
, pp. 441-479
-
-
Weyl, H.1
-
39
-
-
0010712604
-
Rank one perturbation and its application to the Laplacian spectrum of a graph
-
W. So, Rank one perturbation and its application to the Laplacian spectrum of a graph, Linear Multilinear Algebra 46 (1999) 193-198.
-
(1999)
Linear Multilinear Algebra
, vol.46
, pp. 193-198
-
-
So, W.1
-
40
-
-
78649574232
-
A multiple-index model and dimension reduction
-
Y. Xia, A multiple-index model and dimension reduction, J. Amer. Statist. Assoc. 103 (484) (2008) 1631-1640.
-
(2008)
J. Amer. Statist. Assoc.
, vol.103
, Issue.484
, pp. 1631-1640
-
-
Xia, Y.1
-
41
-
-
0036428498
-
An adaptive estimation of dimension reduction space
-
Y. Xia, H. Tong, W.K. Li, L.X. Zhu, An adaptive estimation of dimension reduction space, J. R. Stat. Soc. Ser. B Stat. Methodol. 64 (3) (2002) 363-410.
-
(2002)
J. R. Stat. Soc. Ser. B Stat. Methodol.
, vol.64
, Issue.3
, pp. 363-410
-
-
Xia, Y.1
Tong, H.2
Li, W.K.3
Zhu, L.X.4
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