| 1. |
Yaxiong Liu, Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto, An online semi-definite programming with a generalised log-determinant regularizer and its applications, 第24回情報論的学習理論ワークショップ（IBIS 2021）, 2021.11. |
| 2. |
Yaxiong Liu, Xuanke Jiang, Kohei Hatano, Eiji Takimoto, Expert advice problem with noisy low rank loss, 第24回情報論的学習理論ワークショップ（IBIS 2021）, 2021.11. |
| 3. |
Yaxiong Liu, Kohei Hatano, Eiji Takimoto, Improved algorithms for online load balancing, 情報処理学会アルゴリズム研究会, 2019.09. |
| 4. |
Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, Akiko Takeda, Learning theory and algorithms for shapelets and other local features, NIPS 2017 Time Series Workshop, 2017.12. |
| 5. |
Eiji Takimoto, Online decision making over combinatorial sets, The 20th Korea-Japan Joint Workshop on Algorithms and Computation, 2017.08. |
| 6. |
Takahiro Fujita, Kohei Hatano, Eiji Takimoto, Boosting over ZDDs, The 20th Korea-Japan Joint Workshop on Algorithms and Computation, 2017.08. |
| 7. |
Daiki Suehiro, Kengo Kuwahara, Kohei Hatano, Eiji Takimoto, Time Series Classification Based on Random Shapelets, NIPS Time Series Workshop 2016, 2016.12. |
| 8. |
瀧本 英二, On Noise Reduction for Boolean Functions by Filters, Theoretical Foundations for Learning from Easy Data, 2016.11. |
| 9. |
Issei Matsumoto, Kohei Hatano, Eiji Takimoto, Online prediction with Bradley-Terry models, NIPS 2014 Workshop on Analysis of Rank Data: Confluence of Social Choice, Operations Research, and Machine Learning, 2014.12. |
| 10. |
Takahiro Fujita, Kohei Hatano, Shuji Kijima, Eiji Takimoto, Online linear optimization over permutations with precedence constraints, NIPS 2014 Workshop on Discrete Optimization in Machine Learning (DISCML), 2014.12. |
| 11. |
Takahiro Fujita, Kohei Hatano, Shuji Kijima, Eiji Takimoto, Online prediction over permutations under precedence constraints, ELC Workshop on Learning Theory and Complexity, 2014.09. |
| 12. |
Eiji Takimoto, Lower Bounds for Linear Decision Trees via An Energy Complexity Argument, Computer Science Colloquia, CSpecial Lecture, 2013.12. |
| 13. |
Eiji Takimoto, Kohei Hatano, Efficient Algorithms for Combinatorial Online Prediction, The 24th International Conference on Algorithmic Learning Theory (ALT 2013), 2013.10. |
| 14. |
Eiji Takimoto, Combinatorial Online Prediction by Continuous Relaxation, The Sixth Workshop on Information Theoretic Methods in Science and Engineering (WITMSE 2013), 2013.08. |
| 15. |
Takahiro Fujita, Kohei Hatano, Eiji Takimoto, Combinatorial Online Prediction via Metarounding, ICALP 2013 Satellite Workshop on Learning Theory and Complexity, 2013.07. |
| 16. |
Takahiro Fujita, Kohei Hatano, Eiji Takimoto, Combinatorial Online Prediction Using Offline Approximation Algorithms, 6th Annual Meeting of Asian Association for Algorithms and Computation (AAAC 2013), 2013.04. |
| 17. |
Passive-Aggressive Algorithm with Bias. |
| 18. |
Daiki Suehiro, 畑埜 晃平, 来嶋 秀治, 永野 清仁, 瀧本 英二, Online Prediction over Base Polyhedra, NIPS Workshop on Discrete Optimization in Machine Learning, 2012.12. |
| 19. |
Online Prediction under Submodular Constraints. |
| 20. |
Adaptive Online Prediction with Weighted Windows. |
| 21. |
Generating NPN-representatives of a Set of Optimal Boolean Formulas. |
| 22. |
Size-Energy Tradeoff for Threshold Logic Circuits Computing MOD Functions. |
