-
2
-
-
85032751900
-
Learning low-dimensional signal models
-
IEEE
-
L. Carin, R.G. Baraniuk, V. Cevher, D. Dunson, M.I. Jordan, G. Sapiro, and M.B. Wakin. Learning low-dimensional signal models. Signal Processing Magazine, IEEE, 28(2):39-51, 2011.
-
(2011)
Signal Processing Magazine
, vol.28
, Issue.2
, pp. 39-51
-
-
Carin, L.1
Baraniuk, R.G.2
Cevher, V.3
Dunson, D.4
Jordan, M.I.5
Sapiro, G.6
Wakin, M.B.7
-
3
-
-
0035528162
-
Structure adaptive approach for dimension reduction
-
M. Hristache, A. Juditsky, J. Polzehl, and V. Spokoiny. Structure adaptive approach for dimension reduction. The Annals of Statistics, 29(6):1537-1566, 2001.
-
(2001)
The Annals of Statistics
, vol.29
, Issue.6
, pp. 1537-1566
-
-
Hristache, M.1
Juditsky, A.2
Polzehl, J.3
Spokoiny, V.4
-
5
-
-
0041753016
-
On almost linearity of low dimensional projections from high dimensional data
-
P. Hall and K.C. Li. On almost linearity of low dimensional projections from high dimensional data. The Annals of Statistics, pages 867-889, 1993.
-
(1993)
The Annals of Statistics
, pp. 867-889
-
-
Hall, P.1
Li, K.C.2
-
6
-
-
0036428498
-
An adaptive estimation of dimension reduction space
-
Y. Xia, H. Tong, WK Li, and L.X. Zhu. An adaptive estimation of dimension reduction space. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 64(3):363-410, 2002.
-
(2002)
Journal of the Royal Statistical Society: Series B (Statistical Methodology)
, vol.64
, Issue.3
, pp. 363-410
-
-
Xia, Y.1
Tong, H.2
Li, W.K.3
Zhu, L.X.4
-
7
-
-
78649574232
-
A multiple-index model and dimension reduction
-
Y. Xia. A multiple-index model and dimension reduction. Journal of the American Statistical Association, 103(484):1631-1640, 2008.
-
(2008)
Journal of the American Statistical Association
, vol.103
, Issue.484
, pp. 1631-1640
-
-
Xia, Y.1
-
8
-
-
33847350805
-
Component selection and smoothing in multivariate nonparametric regression
-
Y. Lin and H.H. Zhang. Component selection and smoothing in multivariate nonparametric regression. The Annals of Statistics, 34(5):2272-2297, 2006.
-
(2006)
The Annals of Statistics
, vol.34
, Issue.5
, pp. 2272-2297
-
-
Lin, Y.1
Zhang, H.H.2
-
10
-
-
84856109502
-
Minimax-optimal rates for sparse additive models over kernel classes via convex programming
-
Department of Statistics, August
-
G. Raskutti, M. J. Wainwright, and B. Yu. Minimax-optimal rates for sparse additive models over kernel classes via convex programming. Technical Report, UC Berkeley, Department of Statistics, August 2010.
-
(2010)
Technical Report, UC Berkeley
-
-
Raskutti, G.1
Wainwright, M.J.2
Yu, B.3
-
11
-
-
70350092487
-
Sparse additive models
-
P. Ravikumar, J. Lafferty, H. Liu, and L. Wasserman. Sparse additive models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 71(5):1009-1030, 2009.
-
(2009)
Journal of the Royal Statistical Society: Series B (Statistical Methodology)
, vol.71
, Issue.5
, pp. 1009-1030
-
-
Ravikumar, P.1
Lafferty, J.2
Liu, H.3
Wasserman, L.4
-
12
-
-
78650166948
-
Sparsity in multiple kernel learning
-
V. Koltchinskii and M. Yuan. Sparsity in multiple kernel learning. The Annals of Statistics, 38(6):3660-3695, 2010.
-
(2010)
The Annals of Statistics
, vol.38
, Issue.6
, pp. 3660-3695
-
-
Koltchinskii, V.1
Yuan, M.2
-
13
-
-
84867597479
-
Capturing ridge functions in high dimensions from point queries
-
A. Cohen, I. Daubechies, R. A. DeVore, G. Kerkyacharian, and D. Picard. Capturing ridge functions in high dimensions from point queries. Constr. Approx., pages 1-19, 2011.
-
(2011)
Constr. Approx.
, pp. 1-19
-
-
Cohen, A.1
Daubechies, I.2
Devore, R.A.3
Kerkyacharian, G.4
Picard, D.5
-
15
-
-
84877772213
-
Learning ridge functions with randomized sampling in high dimensions
-
H. Tyagi and V. Cevher. Learning ridge functions with randomized sampling in high dimensions. In ICASSP, 2011.
-
(2011)
ICASSP
-
-
Tyagi, H.1
Cevher, V.2
-
18
-
-
67649103535
-
Approximation of infinitely differentiable multivariate functions is intractable
-
August
-
E.Novak and H.Woniakowski. Approximation of infinitely differentiable multivariate functions is intractable. J. Complex., 25:398-404, August 2009.
-
(2009)
J. Complex
, vol.25
, pp. 398-404
-
-
Novak, E.1
Woniakowski, H.2
-
21
-
-
0002531537
-
Projection based regression and a duality with kernel methods
-
D.L. Donoho and I.M. Johnstone. Projection based regression and a duality with kernel methods. Ann. Statist., 17:58-106, 1989.
-
(1989)
Ann. Statist.
, vol.17
, pp. 58-106
-
-
Donoho, D.L.1
Johnstone, I.M.2
-
22
-
-
0000263797
-
Projection pursuit
-
P.J. Huber. Projection pursuit. Ann. Statist., 13:435-475, 1985.
-
(1985)
Ann. Statist.
, vol.13
, pp. 435-475
-
-
Huber, P.J.1
-
23
-
-
85011438572
-
Approximation theory of the MLP model in neural networks
-
A. Pinkus. Approximation theory of the MLP model in neural networks. Acta Numerica, 8:143-195, 1999.
-
(1999)
Acta Numerica
, vol.8
, pp. 143-195
-
-
Pinkus, A.1
-
24
-
-
0001184615
-
Harmonic analysis of neural networks
-
E.J Candès. Harmonic analysis of neural networks. Appl. Comput. Harmon. Anal., 6(2):197-218, 1999.
-
(1999)
Appl. Comput. Harmon. Anal.
, vol.6
, Issue.2
, pp. 197-218
-
-
Candès, E.J.1
-
25
-
-
84860236413
-
Information-theoretic regret bounds for gaussian process optimization in the bandit setting
-
To appear in the
-
N. Srinivas, A. Krause, S. Kakade, and M. Seeger. Information-theoretic regret bounds for gaussian process optimization in the bandit setting. To appear in the IEEE Trans. on Information Theory, 2012.
-
(2012)
IEEE Trans. on Information Theory
-
-
Srinivas, N.1
Krause, A.2
Kakade, S.3
Seeger, M.4
-
26
-
-
84877760309
-
Learning non-parametric basis independent models from point queries via low-rank methods
-
Hemant Tyagi and Volkan Cevher. Learning non-parametric basis independent models from point queries via low-rank methods. Technical Report, Infoscience EPFL, 2012.
-
(2012)
Technical Report Infoscience EPFL
-
-
Tyagi, H.1
Cevher, V.2
-
28
-
-
77951528523
-
The power of convex relaxation: Near-optimal matrix completion
-
May
-
E.J. Candès and T. Tao. The power of convex relaxation: near-optimal matrix completion. IEEE Trans. Inf. Theor., 56:2053-2080, May 2010.
-
(2010)
IEEE Trans. Inf. Theor.
, vol.56
, pp. 2053-2080
-
-
Candès, E.J.1
Tao, T.2
-
30
-
-
78549288866
-
Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization
-
B. Recht, M. Fazel, and P.A. Parrilo. Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization. SIAM REVIEW, 52:471-501, 2010.
-
(2010)
Siam Review
, vol.52
, pp. 471-501
-
-
Recht, B.1
Fazel, M.2
Parrilo, P.A.3
-
31
-
-
0034287154
-
Adaptive estimation of a quadratic functional by model selection
-
B. Laurent and P. Massart. Adaptive estimation of a quadratic functional by model selection. The Annals of Statistics, 28(5):1302-1338.
-
The Annals of Statistics
, vol.28
, Issue.5
, pp. 1302-1338
-
-
Laurent, B.1
Massart, P.2
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