Foundations for Combinatorial Online Prediction
Project/Area Number |
25330261
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Intelligent informatics
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Research Institution | Kyushu University |
Principal Investigator |
Hatano Kohei 九州大学, 附属図書館, 准教授 (60404026)
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Co-Investigator(Renkei-kenkyūsha) |
TAKIMOTO Eiji 九州大学, システム情報科学研究院, 教授 (50236395)
KIJIMA Shuji 九州大学, システム情報科学研究院, 准教授 (70452307)
NAGANO Kiyohito 公立はこだて未来大学, システム情報科学部, 准教授 (20515176)
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Project Period (FY) |
2013-04-01 – 2016-03-31
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Project Status |
Completed (Fiscal Year 2015)
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Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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Keywords | オンライン予測 / 離散構造 / 離散最適化 / スケジューリング / 順序 / Bradley-Terry モデル / ブースティング / バンディット問題 / 機械学習 / ランキング / オンライン密度推定 / 順列 / ランキング予測 / 近似アルゴリズム |
Outline of Final Research Achievements |
Online prediction problems of combinatorial objects arise in many applications such as scheduling, ranking and network optimization and so on. For individual problems, there are several results on robust and efficient online prediction methods. However, there is no unified approach on how to design efficient algorithms and there seems rooms for improvements. In this project, we consider a generic approach that converts offline algorithms for combinatorial optimization into prediction algorithms. An advantage of our approach is that the prediction performance reflects the approximation performance of offline algorithms. Therefore, good offline algorithms imply good online prediction algorithms.
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Report
(4 results)
Research Products
(32 results)
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[Journal Article] Bandit online optimization over permutahedron2014
Author(s)
Nir Ailon, Kohei Hatano, Eiji Takimoto
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Journal Title
Proc. 25th International Conference on Algorithmic Learning Theory (ALT 2014), Lecture Notes in Artificial Ingtelligence
Volume: 8776
Pages: 215-229
DOI
ISBN
9783319116617, 9783319116624
Related Report
Peer Reviewed / Acknowledgement Compliant
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[Journal Article] Combinatorial Online Prediction via Metarounding2013
Author(s)
Takahiro Fujita, Kohei Hatano, Eiji Takimoto
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Journal Title
Proc. 24th International Conference on Algorithmic Learning Theory (ALT 2013), Lecture Notes in Artificial Intelligence
Volume: 8139
Pages: 68-82
DOI
NAID
ISBN
9783642409349, 9783642409356
Related Report
Peer Reviewed
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[Presentation] Online Prediction with Bradley-Terry Models2014
Author(s)
Issei Matsumoto , Kohei Hatano, and Eiji Takimoto
Organizer
NIPS 2014 Workshop on Analysis of Rank Data: Confluence of Social Choice, Operations Research, and Machine Learning
Place of Presentation
カナダ・モントリオール
Year and Date
2014-12-13
Related Report
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