-
1
-
-
33746218517
-
Efficient optimization of support vector machine learning parameters for unbalanced datasets
-
T. Eitrich and B. Lang. Efficient optimization of support vector machine learning parameters for unbalanced datasets. Journal of computational and applied mathematics, 196(2):425-436, 2006.
-
(2006)
Journal of Computational and Applied Mathematics
, vol.196
, Issue.2
, pp. 425-436
-
-
Eitrich, T.1
Lang, B.2
-
2
-
-
34547300488
-
A new derivative-free algorithm for the medical image registration problem
-
R. Oeuvray and M. Bierlaire. A new derivative-free algorithm for the medical image registration problem. International Journal of Modelling and Simulation, 27(2):115-124, 2007.
-
(2007)
International Journal of Modelling and Simulation
, vol.27
, Issue.2
, pp. 115-124
-
-
Oeuvray, R.1
Bierlaire, M.2
-
5
-
-
84860610528
-
Random gradient-free minimization of convex functions
-
Y. Nesterov. Random gradient-free minimization of convex functions. CORE Discussion Papers, 2011.
-
(2011)
CORE Discussion Papers
-
-
Nesterov, Y.1
-
7
-
-
0142000477
-
Differential evolution-A simple and efficient heuristic for global optimization over continuous spaces
-
R. Storn and K. Price. Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. Journal of global optimization, 11(4):341-359, 1997.
-
(1997)
Journal of Global Optimization
, vol.11
, Issue.4
, pp. 341-359
-
-
Storn, R.1
Price, K.2
-
8
-
-
84860604387
-
-
Arxiv preprint arXiv:1107.1744
-
A. Agarwal, D.P. Foster, D. Hsu, S.M. Kakade, and A. Rakhlin. Stochastic convex optimization with bandit feedback. Arxiv preprint arXiv:1107.1744, 2011.
-
(2011)
Stochastic Convex Optimization with Bandit Feedback
-
-
Agarwal, A.1
Foster, D.P.2
Hsu, D.3
Kakade, S.M.4
Rakhlin, A.5
-
9
-
-
70450197241
-
Robust stochastic approximation approach to stochastic programming
-
A. Nemirovski, A. Juditsky, G. Lan, and A. Shapiro. Robust stochastic approximation approach to stochastic programming. SIAM Journal on Optimization, 19(4):1574, 2009.
-
(2009)
SIAM Journal on Optimization
, vol.19
, Issue.4
, pp. 1574
-
-
Nemirovski, A.1
Juditsky, A.2
Lan, G.3
Shapiro, A.4
-
10
-
-
27544473848
-
Algorithms for approximate calculation of the minimum of a convex function from its values
-
10.1007/BF02312467
-
V. Protasov. Algorithms for approximate calculation of the minimum of a convex function from its values. Mathematical Notes, 59:69-74, 1996. 10.1007/BF02312467.
-
(1996)
Mathematical Notes
, vol.59
, pp. 69-74
-
-
Protasov, V.1
-
11
-
-
80053997013
-
Information-based complexity, feedback, and dynamics in convex programming
-
M. Raginsky and A. Rakhlin. Information-based complexity, feedback, and dynamics in convex programming. Information Theory, IEEE Transactions on, (99):1-1, 2011.
-
(2011)
Information Theory, IEEE Transactions on
, Issue.99
, pp. 1-1
-
-
Raginsky, M.1
Rakhlin, A.2
-
16
-
-
84860604387
-
-
Arxiv preprint arXiv:1107.1744
-
A. Agarwal, D.P. Foster, D. Hsu, S.M. Kakade, and A. Rakhlin. Stochastic convex optimization with bandit feedback. Arxiv preprint arXiv:1107.1744, 2011.
-
(2011)
Stochastic Convex Optimization with Bandit Feedback
-
-
Agarwal, A.1
Foster, D.P.2
Hsu, D.3
Kakade, S.M.4
Rakhlin, A.5
-
17
-
-
85093189339
-
Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization
-
A. Agarwal, P.L. Bartlett, P. Ravikumar, and M.J. Wainwright. Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization. Information Theory, IEEE Transactions on, (99):1-1, 2010.
-
(2010)
Information Theory, IEEE Transactions on
, Issue.99
, pp. 1-1
-
-
Agarwal, A.1
Bartlett, P.L.2
Ravikumar, P.3
Wainwright, M.J.4
-
18
-
-
84860610530
-
Optimal algorithms for online convex optimization with multi-point bandit feedback
-
A. Agarwal, O. Dekel, and L. Xiao. Optimal algorithms for online convex optimization with multi-point bandit feedback. In Conference on Learning Theory (COLT), 2010.
-
(2010)
Conference on Learning Theory (COLT)
-
-
Agarwal, A.1
Dekel, O.2
Xiao, L.3
-
24
-
-
33750727664
-
Active learning in the non-realizable case
-
Springer
-
M. Kääriäinen. Active learning in the non-realizable case. In Algorithmic Learning Theory, pages 63-77. Springer, 2006.
-
(2006)
Algorithmic Learning Theory
, pp. 63-77
-
-
Kääriäinen, M.1
|