Learning Permutations with Exponential Weights-Reference-Cited by-同舟云学术

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Learning Permutations with Exponential Weights

Published: Issue: Volume: Page:469-483
ISSN:
Container-title:Learning Theory
language:
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Author:

Helmbold David P.,Warmuth Manfred K.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-72927-3_34.pdf

Reference24 articles.

1. Auer, P., Cesa-Bianchi, N., Freund, Y., Schapire, R.E.: The nonstochastic multiarmed bandit problem. SIAM Journal on Computing 32(1), 48–77 (2002)

2. Blum, A., Chawla, S., Kalai, A.: Static optimality and dynamic search-optimality in lists and trees. Algorithmica 36, 249–260 (2003)

3. Bhatia, R.: Matrix Analysis. Springer, Heidelberg (1997)

4. Balakrishnan, H., Hwang, I., Tomlin, C.: Polynomial approximation algorithms for belief matrix maintenance in identity management. In: 43rd IEEE Conference on Decision and Control, pp. 4874–4879 (December 2004)

5. Bousquet, O., Warmuth, M.K.: Tracking a small set of experts by mixing past posteriors. Journal of Machine Learning Research 3, 363–396 (2002)

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2. Online Combinatorial Optimization with Multiple Projections and Its Application to Scheduling Problem;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2018-09-01

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