-
1
-
-
0037403111
-
Mirror descent and nonlinear projected subgradient methods for convex optimization
-
Beck, A. & Teboulle, M. (2003) Mirror descent and nonlinear projected subgradient methods for convex optimization. Operations Research Letters, 31:167-175.
-
(2003)
Operations Research Letters
, vol.31
, pp. 167-175
-
-
Beck, A.1
Teboulle, M.2
-
2
-
-
0036342276
-
The Ordered Subsets Mirror Descent optimization method and its use for the Positron Emission Tomography reconstruction problem
-
Ben-Tal, A., Margalit, T. & Nemirovski, A. (2001) The Ordered Subsets Mirror Descent optimization method and its use for the Positron Emission Tomography reconstruction problem. SIAM J. on Optimization, 12:79-108.
-
(2001)
SIAM J. on Optimization
, vol.12
, pp. 79-108
-
-
Ben-Tal, A.1
Margalit, T.2
Nemirovski, A.3
-
5
-
-
4544304381
-
On the generalization ability of on-line learning algorithms
-
Cesa-Bianchi, N., Conconi, A. & Gentile, C. (2004) On the generalization ability of on-line learning algorithms. IEEE Transactions on Information Theory, 50(9):2050-2057.
-
(2004)
IEEE Transactions on Information Theory
, vol.50
, Issue.9
, pp. 2050-2057
-
-
Cesa-Bianchi, N.1
Conconi, A.2
Gentile, C.3
-
6
-
-
0033336069
-
Relative loss bounds for single neurons
-
Helmbold, D.P., Kivinen, J. & Warmuth, M.K. (1999) Relative loss bounds for single neurons. IEEE Trans. on Neural Networks, 10(6):1291-1304.
-
(1999)
IEEE Trans. on Neural Networks
, vol.10
, Issue.6
, pp. 1291-1304
-
-
Helmbold, D.P.1
Kivinen, J.2
Warmuth, M.K.3
-
7
-
-
0034362823
-
Functional aggregation for nonparametric estimation
-
Juditsky, A. & Nemirovski, A. (2000) Functional aggregation for nonparametric estimation. Annals of Statistics, 28(3): 681-712.
-
(2000)
Annals of Statistics
, vol.28
, Issue.3
, pp. 681-712
-
-
Juditsky, A.1
Nemirovski, A.2
-
8
-
-
84864074735
-
Recursive aggregation of estimators via the mirror descent algorithm with averaging
-
Juditsky, A.B., Nazin, A.V., Tsybakov, A.B. & Vayatis N. (2005) Recursive Aggregation of Estimators via the Mirror Descent Algorithm with Averaging. Technical Report LPMA, Université Paris 6. Available at http://www.proba.jussieu.fr/pageperso/vayatis/publication.html
-
(2005)
Technical Report LPMA, Université Paris 6
-
-
Juditsky, A.B.1
Nazin, A.V.2
Tsybakov, A.B.3
Vayatis, N.4
-
9
-
-
0031190440
-
Proximal minimization methods with generalized Bregman functions
-
Kiwiel, K.C. (1997) Proximal minimization methods with generalized Bregman functions. SIAM J. Control Optim., 35:1142-1168.
-
(1997)
SIAM J. Control Optim.
, vol.35
, pp. 1142-1168
-
-
Kiwiel, K.C.1
-
10
-
-
0008815681
-
Additive versus exponentiated gradient updates for linear prediction
-
Kivinen J. & Warmuth M.K. (1997) Additive versus exponentiated gradient updates for linear prediction. Information and Computation, Vol.132(1): 1-64.
-
(1997)
Information and Computation
, vol.132
, Issue.1
, pp. 1-64
-
-
Kivinen, J.1
Warmuth, M.K.2
-
11
-
-
9444269961
-
On the Bayes-risk consistency of regularized boosting methods (with discussion)
-
Lugosi, G. & Vayatis, N. (2004) On the Bayes-risk consistency of regularized boosting methods (with discussion). Annals of Statitics, 32(1): 30-55.
-
(2004)
Annals of Statitics
, vol.32
, Issue.1
, pp. 30-55
-
-
Lugosi, G.1
Vayatis, N.2
-
13
-
-
0026899240
-
Acceleration of stochastic approximation by averaging
-
Polyak, B.T. & Juditsky, A.B. (1992) Acceleration of stochastic approximation by averaging. SIAM J. Control Optim., 30:838-855.
-
(1992)
SIAM J. Control Optim.
, vol.30
, pp. 838-855
-
-
Polyak, B.T.1
Juditsky, A.B.2
-
16
-
-
9444226947
-
Optimal rates of aggregation
-
Springer
-
Tsybakov, A. (2003) Optimal Rates of Aggregation. Proceedings of COLT'03, LNCS, Springer, Vol. 2777:303-313.
-
(2003)
Proceedings of COLT'03, LNCS
, vol.2777
, pp. 303-313
-
-
Tsybakov, A.1
-
17
-
-
3142725508
-
Optimal aggregation of classifiers in statistical learning
-
Tsybakov, A. (2004) Optimal aggregation of classifiers in statistical learning. Annals of Statistics, 32(1):135-166.
-
(2004)
Annals of Statistics
, vol.32
, Issue.1
, pp. 135-166
-
-
Tsybakov, A.1
-
18
-
-
4644257995
-
Statistical behavior and consistency of classification methods based on convex risk minimization (with discussion)
-
Zhang, T. (2004) Statistical behavior and consistency of classification methods based on convex risk minimization (with discussion). Annals of Statistics, 32(1):56-85.
-
(2004)
Annals of Statistics
, vol.32
, Issue.1
, pp. 56-85
-
-
Zhang, T.1
-
19
-
-
14344259207
-
Solving large scale linear prediction problems using stochastic gradient descent algorithms
-
Zhang, T. (2004) Solving large scale linear prediction problems using stochastic gradient descent algorithms. In Proceedings of ICML'04.
-
(2004)
Proceedings of ICML'04
-
-
Zhang, T.1
|