-
1
-
-
33746043351
-
A randomized online learning algorithm for better variance control
-
J.-Y. Audibert, "A randomized online learning algorithm for better variance control", in Proc. 19th Annual Conf. on Learning Theory (COLT) (2006), pp. 392-407.
-
(2006)
Proc. 19th Annual Conf. on Learning Theory (COLT)
, pp. 392-407
-
-
Audibert, J.-Y.1
-
2
-
-
0036643049
-
Model selection and error estimation
-
P. L. Bartlett, S. Boucheron, and G. Lugosi, "Model selection and error estimation", Machine Learning 48, 85-113 (2002).
-
(2002)
Machine Learning
, vol.48
, pp. 85-113
-
-
Bartlett, P.L.1
Boucheron, S.2
Lugosi, G.3
-
4
-
-
84924053271
-
Theory of classification: some recent advances
-
S. Boucheron, O. Bousquet, and G. Lugosi, "Theory of classification: some recent advances", ESAIM Probab. and Statist. 9, 323-375 (2005).
-
(2005)
ESAIM Probab. And Statist.
, vol.9
, pp. 323-375
-
-
Boucheron, S.1
Bousquet, O.2
Lugosi, G.3
-
5
-
-
33746077372
-
-
Tech. Report, Chapel Hill: Dept. of Statist. and Operations Research, UNC
-
F. Bunea and A. B. Nobel, Sequential Procedures for Aggregating Arbitrary Estimators of a Conditional Mean, Tech. Report no. 05-014 (Dept. of Statist. and Operations Research, UNC, Chapel Hill, 2005).
-
(2005)
Sequential Procedures for Aggregating Arbitrary Estimators of a Conditional Mean
, vol.5-14
-
-
Bunea, F.1
Nobel, A.B.2
-
6
-
-
38049043619
-
Aggregation for Gaussian regression
-
F. Bunea, A. B. Tsybakov, and M. H. Wegkamp, "Aggregation for Gaussian regression", Ann. Statist. 35, 1674-1697 (2007).
-
(2007)
Ann. Statist.
, vol.35
, pp. 1674-1697
-
-
Bunea, F.1
Tsybakov, A.B.2
Wegkamp, M.H.3
-
8
-
-
0141577431
-
-
Tech. Report no. 510 (Laboratoire de Probab. et Modèles Aléatoires, Univ. Paris 6 et Paris 7)
-
O. Catoni, Universal Aggregation Rules with Exact Bias Bounds, Tech. Report no. 510 (Laboratoire de Probab. et Modèles Aléatoires, Univ. Paris 6 et Paris 7, 1999).
-
(1999)
Universal Aggregation Rules with Exact Bias Bounds
-
-
Catoni, O.1
-
13
-
-
0032164946
-
Sequential prediction of individual sequences under general loss functions
-
D. Haussler, J. Kivinen, and M. K. Warmuth, "Sequential prediction of individual sequences under general loss functions", IEEE Trans. Inform. Theory 44(5), 1906-1925 (1998).
-
(1998)
IEEE Trans. Inform. Theory
, vol.44
, Issue.5
, pp. 1906-1925
-
-
Haussler, D.1
Kivinen, J.2
Warmuth, M.K.3
-
14
-
-
0034362823
-
Functional aggregation for nonparametric regression
-
A. Juditsky and A. Nemirovski, "Functional aggregation for nonparametric regression", Ann. Statist. 28, 681-712 (2000).
-
(2000)
Ann. Statist.
, vol.28
, pp. 681-712
-
-
Juditsky, A.1
Nemirovski, A.2
-
15
-
-
31344435933
-
Recursive aggregation of estimators by mirror descent algorithm with averaging
-
A. Juditsky, A. Nazin, A. B. Tsybakov, and N. Vayatis, "Recursive aggregation of estimators by mirror descent algorithm with averaging," Problems of Inform. Transmission 41(4), 368-384 (2005).
-
(2005)
Problems of Inform. Transmission
, vol.41
, Issue.4
, pp. 368-384
-
-
Juditsky, A.1
Nazin, A.2
Tsybakov, A.B.3
Vayatis, N.4
-
16
-
-
47249138018
-
-
Tech. Report no. 1034 (Laboratoire de Probab. et Modèles Aléatoires, Univ. Paris 6 et Paris 7)
-
A. Juditsky, Ph. Rigollet, and A. B. Tsybakov, Learning by Mirror Averaging, Tech. Report no. 1034 (Laboratoire de Probab. et Modèles Aléatoires, Univ. Paris 6 et Paris 7, 2006).
-
(2006)
Learning by Mirror Averaging
-
-
Juditsky, A.1
Rigollet, P.2
Tsybakov, A.B.3
-
17
-
-
84947774618
-
Averaging expert predictions
-
Lecture Notes in Artificial Intelligence, H. U. Simon and P. Fischer (Eds.), Berlin: Springer
-
J. Kivinen and M. K. Warmuth, "Averaging expert predictions", in Proc. 4th European Conf. on Comput. Learning Theory, Ed. by H. U. Simon and P. Fischer, Lecture Notes in Artificial Intelligence (Springer, Berlin, 1999), Vol. 1572, pp. 153-167.
-
(1999)
Proc. 4th European Conf. On Comput. Learning Theory
, pp. 153-167
-
-
Kivinen, J.1
Warmuth, M.K.2
-
18
-
-
33746478298
-
Information theory and mixing least-square regressions
-
G. Leung and A. Barron, "Information theory and mixing least-square regressions", IEEE Trans. Inform. Theory 52(8), 3396-3410 (2006).
-
(2006)
IEEE Trans. Inform. Theory
, vol.52
, Issue.8
, pp. 3396-3410
-
-
Leung, G.1
Barron, A.2
-
19
-
-
23744490659
-
Complexity regularization via localized random penalties
-
G. Lugosi and M. Wegkamp, "Complexity regularization via localized random penalties", Ann. Statist. 32, 1679-1697 (2004).
-
(2004)
Ann. Statist.
, vol.32
, pp. 1679-1697
-
-
Lugosi, G.1
Wegkamp, M.2
-
21
-
-
0007259908
-
Topics in nonparametric statistics
-
Berlin: Springer
-
A. Nemirovski, "Topics in nonparametric statistics", in Lectures on probability theory and statistics (Saint Flour, 1998). Lecture Notes in Math. (Springer, Berlin, 2000), Vol. 1738, 85-277.
-
(2000)
Lectures on Probability Theory and Statistics (Saint Flour, 1998). Lecture Notes in Math.
, pp. 85-277
-
-
Nemirovski, A.1
-
27
-
-
9444226947
-
Optimal rates of aggregation
-
Lecture Notes in Artificial Intelligence, B. Scholkopf and M. Warmuth (Eds.), Heidelberg: Springer
-
A. B. Tsybakov, "Optimal rates of aggregation", in Proc. Comput. Learning Theory and Kernel Machines, Ed. by B. Scholkopf and M. Warmuth, Lecture Notes in Artificial Intelligence (Springer, Heidelberg, 2003), Vol. 2777, 303-313.
-
(2003)
Proc. Comput. Learning Theory and Kernel Machines
, pp. 303-313
-
-
Tsybakov, A.B.1
-
29
-
-
21144432799
-
Model selection in nonparametric regression
-
M. Wegkamp, "Model selection in nonparametric regression", Ann. Statist. 31, 252-273 (2003).
-
(2003)
Ann. Statist.
, vol.31
, pp. 252-273
-
-
Wegkamp, M.1
-
30
-
-
0004599527
-
Combining different procedures for adaptive regression
-
Y. Yang, "Combining different procedures for adaptive regression", J. Multivariate Anal. 74, 135-161 (2000).
-
(2000)
J. Multivariate Anal.
, vol.74
, pp. 135-161
-
-
Yang, Y.1
-
31
-
-
29144460670
-
Aggregating procedures for a better performance
-
Y. Yang, "Aggregating procedures for a better performance", Bernoulli 10, 25-47 (2004).
-
(2004)
Bernoulli
, vol.10
, pp. 25-47
-
-
Yang, Y.1
-
32
-
-
33847361463
-
From epsilon-entropy to KL-complexity: analysis of minimum information complexity density estimation
-
T. Zhang, "From epsilon-entropy to KL-complexity: analysis of minimum information complexity density estimation", Ann. Statist. 34, 2180-2210 (2006).
-
(2006)
Ann. Statist.
, vol.34
, pp. 2180-2210
-
-
Zhang, T.1
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