-
1
-
-
35448978697
-
-
Arora, S., & Kale, S. (2007). A combinatorial primaldual approach to semidefinite programs. Proc. 39th Annual ACM Symposium on Theory of Computing. ACM. To appear.
-
Arora, S., & Kale, S. (2007). A combinatorial primaldual approach to semidefinite programs. Proc. 39th Annual ACM Symposium on Theory of Computing. ACM. To appear.
-
-
-
-
2
-
-
0032140937
-
-
Auer, P., & Warmuth, M. K. (1998). Tracking the best disjunction. Machine Learning, 32, 127-150. Earlier version in 36th FOCS, 1995.
-
Auer, P., & Warmuth, M. K. (1998). Tracking the best disjunction. Machine Learning, 32, 127-150. Earlier version in 36th FOCS, 1995.
-
-
-
-
4
-
-
34547994949
-
-
Cesa-Bianchi, N., & Gentile, C. (2006). Improved risk tail bounds for on-line learning. Advances in Neural Information Processing Systems 18 (NIPS 05). MIT Press.
-
Cesa-Bianchi, N., & Gentile, C. (2006). Improved risk tail bounds for on-line learning. Advances in Neural Information Processing Systems 18 (NIPS 05). MIT Press.
-
-
-
-
5
-
-
0029521676
-
Sample compression, learnability, and the Vapnik-Chervonenkis dimension
-
Floyd, S., & Warmuth, M. (1995). Sample compression, learnability, and the Vapnik-Chervonenkis dimension. Machine Learning, 21, 269-304.
-
(1995)
Machine Learning
, vol.21
, pp. 269-304
-
-
Floyd, S.1
Warmuth, M.2
-
6
-
-
34547967421
-
-
Gentile, C., & Warmuth, M. K. (1998). Hinge loss and average margin. In Advances in Neural Information Processing Systems 11 (NIPS*98).
-
Gentile, C., & Warmuth, M. K. (1998). Hinge loss and average margin. In Advances in Neural Information Processing Systems 11 (NIPS*98).
-
-
-
-
7
-
-
0004236492
-
-
third edition, The John Hopkins University Press
-
Golub, G. H., & Loan, C. F. V. (1996). Matrix computations (third edition). The John Hopkins University Press.
-
(1996)
Matrix computations
-
-
Golub, G.H.1
Loan, C.F.V.2
-
9
-
-
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, 132, 1-64.
-
(1997)
Information and Computation
, vol.132
, pp. 1-64
-
-
Kivinen, J.1
Warmuth, M.K.2
-
11
-
-
34250091945
-
Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
-
Littlestone, N. (1988). Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2, 285-318.
-
(1988)
Machine Learning
, vol.2
, pp. 285-318
-
-
Littlestone, N.1
-
14
-
-
21844471282
-
Matrix exponentiated gradient updates for on-line learning and Bregman projections
-
Tsuda, K., Rätsch, G., & Warmuth, M. K. (2005). Matrix exponentiated gradient updates for on-line learning and Bregman projections. Journal of Machine Learning Research, 6, 995-1018.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 995-1018
-
-
Tsuda, K.1
Rätsch, G.2
Warmuth, M.K.3
-
16
-
-
34547981848
-
-
Warmuth, M. K., & Kuzmin, D. (2006a). Online variance minimization. Proceedings of the 19th Annual Conference on Learning Theory (COLT 06). Pittsburg: Springer.
-
Warmuth, M. K., & Kuzmin, D. (2006a). Online variance minimization. Proceedings of the 19th Annual Conference on Learning Theory (COLT 06). Pittsburg: Springer.
-
-
-
-
17
-
-
34547998520
-
-
Warmuth, M. K., & Kuzmin, D. (2006b). Randomized PCA algorithms with regret bounds that are logarithmic in the dimension. Advances in Neural Information Processing Systems 19 (NIPS 06). MIT Press.
-
Warmuth, M. K., & Kuzmin, D. (2006b). Randomized PCA algorithms with regret bounds that are logarithmic in the dimension. Advances in Neural Information Processing Systems 19 (NIPS 06). MIT Press.
-
-
-
|