-
1
-
-
84860610530
-
Optimal algorithms for online convex optimization with multipoint bandit feedback
-
Kalai, A. and Mohri, M., editors
-
Agarwal, A., Dekel, O., and Xiao, L. (2010). Optimal algorithms for online convex optimization with multipoint bandit feedback. In Kalai, A. and Mohri, M., editors, Proceedings of the 23rd Annual Conference on Learning Theory (COLT 2010), pages 28-40.
-
(2010)
Proceedings of the 23rd Annual Conference on Learning Theory (COLT 2010)
, pp. 28-40
-
-
Agarwal, A.1
Dekel, O.2
Xiao, L.3
-
2
-
-
0036568025
-
Finite-time analysis of the multiarmed bandit problem
-
Auer, P., Cesa-Bianchi, N., and Fischer, P. (2002a). Finite-time analysis of the multiarmed bandit problem. Mach. Learn., 47(2-3):235-256.
-
(2002)
Mach. Learn.
, vol.47
, Issue.2-3
, pp. 235-256
-
-
Auer, P.1
Cesa-Bianchi, N.2
Fischer, P.3
-
3
-
-
0037709910
-
The nonstochastic multiarmed bandit problem
-
Auer, P., Cesa-Bianchi, N., Freund, Y., and Schapire, R. E. (2002b). The nonstochastic multiarmed bandit problem. SIAM J. Comput., 32(1):48-77.
-
(2002)
SIAM J. Comput.
, vol.32
, Issue.1
, pp. 48-77
-
-
Auer, P.1
Cesa-Bianchi, N.2
Freund, Y.3
Schapire, R.E.4
-
4
-
-
85162021730
-
Adaptive online gradient descent
-
Platt, J. C., Koller, D., Singer, Y., and Roweis, S. T., editors Curran Associates December 3-6
-
Bartlett, P. L., Hazan, E., and Rakhlin, A. (2008). Adaptive online gradient descent. In Platt, J. C., Koller, D., Singer, Y., and Roweis, S. T., editors, Advances in Neural Information Processing Systems 20, pages 65-72. Curran Associates. (December 3-6, 2007).
-
(2007)
Advances in Neural Information Processing Systems
, vol.20
, pp. 65-72
-
-
Bartlett, P.L.1
Hazan, E.2
Rakhlin, A.3
-
5
-
-
84874065869
-
The best of both worlds: Stochastic and adversarial bandits
-
Bubeck, S. and Slivkins, A. (2012). The best of both worlds: Stochastic and adversarial bandits. In COLT, pages 42.1-42.23.
-
(2012)
COLT
, pp. 421-4223
-
-
Bubeck, S.1
Slivkins, A.2
-
6
-
-
84926078662
-
-
Cambridge University Press, New York, NY, USA
-
Cesa-Bianchi, N. and Lugosi, G. (2006). Prediction, Learning, and Games. Cambridge University Press, New York, NY, USA.
-
(2006)
Prediction, Learning, and Games
-
-
Cesa-Bianchi, N.1
Lugosi, G.2
-
7
-
-
33847624608
-
Improved second-order bounds for prediction with expert advice
-
Cesa-Bianchi, N., Mansour, Y., and Stoltz, G. (2007). Improved second-order bounds for prediction with expert advice. Machine Learning, 66(2-3):321-352.
-
(2007)
Machine Learning
, vol.66
, Issue.2-3
, pp. 321-352
-
-
Cesa-Bianchi, N.1
Mansour, Y.2
Stoltz, G.3
-
8
-
-
84901638727
-
Follow the leader if you can, hedge if you must
-
Accepted to
-
de Rooij, S., van Erven, T., Grünwald, P. D., and Koolen, W. M. (2014). Follow the leader if you can, hedge if you must. Accepted to the Journal of Machine Learning Research.
-
(2014)
The Journal of Machine Learning Research
-
-
De Rooij, S.1
Van Erven, T.2
Grünwald, P.D.3
Koolen, W.M.4
-
9
-
-
84897581703
-
Regret to the best vs regret to the average
-
Even-Dar, E., Kearns, M., Mansour, Y., and Wortman, J. (2008). Regret to the best vs. regret to the average. Machine Learning, 72(1-2):21-37.
-
(2008)
Machine Learning
, vol.72
, Issue.1-2
, pp. 21-37
-
-
Even-Dar, E.1
Kearns, M.2
Mansour, Y.3
Wortman, J.4
-
10
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Freund, Y. and Schapire, R. E. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55:119-139.
-
(1997)
Journal of Computer and System Sciences
, vol.55
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
11
-
-
84937940324
-
A second-order bound with excess losses
-
Balcan, M.-F. and Szepesvári, Cs., editors JMLR.org
-
Gaillard, P., Stoltz, G., and van Erven, T. (2014). A second-order bound with excess losses. In Balcan, M.-F. and Szepesvári, Cs., editors, Proceedings of The 27th Conference on Learning Theory, Volume 35 of JMLR Proceedings, pages 176-196. JMLR.org.
-
(2014)
Proceedings of the 27th Conference on Learning Theory, Volume 35 of JMLR Proceedings
, pp. 176-196
-
-
Gaillard, P.1
Stoltz, G.2
Van Erven, T.3
-
12
-
-
80054819291
-
Regret minimization for online buffering problems using the weighted majority algorithm
-
Geulen, S., Vöcking, B., and Winkler, M. (2010). Regret minimization for online buffering problems using the weighted majority algorithm. In COLT, pages 132-143.
-
(2010)
COLT
, pp. 132-143
-
-
Geulen, S.1
Vöcking, B.2
Winkler, M.3
-
14
-
-
84867973521
-
Efficient tracking of large classes of experts
-
György, A., Linder, T., and Lugosi, G. (2012). Efficient tracking of large classes of experts. IEEE Transactions on Information Theory, 58(11):6709-6725.
-
(2012)
IEEE Transactions on Information Theory
, vol.58
, Issue.11
, pp. 6709-6725
-
-
György, A.1
Linder, T.2
Lugosi, G.3
-
15
-
-
84937920282
-
Near-optimal rates for limited-delay universal lossy source coding
-
Submitted to
-
György, A. and Neu, G. (2013). Near-optimal rates for limited-delay universal lossy source coding. Submitted to the IEEE Transactions on Information Theory.
-
(2013)
The IEEE Transactions on Information Theory
-
-
György, A.1
Neu, G.2
-
16
-
-
0001976283
-
Approximation to bayes risk in repeated play
-
Hannan, J. (1957). Approximation to Bayes risk in repeated play. Contributions to the theory of games, 3:97-139.
-
(1957)
Contributions to the Theory of Games
, vol.3
, pp. 97-139
-
-
Hannan, J.1
-
17
-
-
35348918820
-
Logarithmic regret algorithms for online convex optimization
-
Hazan, E., Agarwal, A., and Kale, S. (2007). Logarithmic regret algorithms for online convex optimization. Machine Learning, 69:169-192.
-
(2007)
Machine Learning
, vol.69
, pp. 169-192
-
-
Hazan, E.1
Agarwal, A.2
Kale, S.3
-
21
-
-
84919793983
-
Prediction with limited advice and multiarmed bandits with paid observations
-
Seldin, Y., Bartlett, P., Crammer, K., and Abbasi-Yadkori, Y. (2014). Prediction with limited advice and multiarmed bandits with paid observations. In Proceedings of the 30th International Conference on Machine Learning (ICML 2013), page 280-287.
-
(2014)
Proceedings of the 30th International Conference on Machine Learning (ICML 2013)
, pp. 280-287
-
-
Seldin, Y.1
Bartlett, P.2
Crammer, K.3
Abbasi-Yadkori, Y.4
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