D. Suehiro, K. Hatano, E. Takimoto, S. Yamamoto, K. Bannai, A. Takeda, "Theory and Algorithms for Shapelet-Based Multiple-Instance Learning," Neural Computation, volume 32, 8, 1580-1613, 2020. [DOI]
S. Hashima, K. Hatano, E. Takimoto, E. M. Mohamed, "Neighbor Discovery and Selection in Millimeter Wave D2D Networks Using Stochastic MAB," IEEE Communications Letters, volume 24, 8, 1840-1844, 2020. [DOI]
E. M. Mohamed, S. Hashima, A. Aldosary, K. Hatano, M. A. Abdelghany, "Gateway Selection in Millimeter Wave UAV Wireless Networks Using Multi-Player Multi-Armed Bandit", Sensors , volume 20, 14, 3947-3947, 2020. [pdf][DOI]
T. Fujita, K. Hatano and E. Takimoto, “Boosting over non-deterministic ZDDs," Theoretical Computer Science, Volume 806, 2, 81-89, 2020. [DOI] [pdf](Preliminary version appeared in WALCOM'18.)
K. Moridomi, K. Hatano, and E. Takimoto, “Online linear optimization with the log-determinant regularizer,” IEICE Transactions on Information and Systems, vol. E101.D, No.6, pp. 1511-1520, 2018. [pdf] (Preliminary version appeared in ACML'14.)
T. Fujita, K. Hatano, and E. Takimoto, “Online Combinatorial Optimization with Multiple Projections and Its Application to Scheduling Problem,” IEICE Transactions on Information and Systems, vol.E101-A no.9, pp. 1334-1343, 2018. [DOI] [pdf] (Preliminary version appeared in ALT'15.)
D. Suehiro, K. Hatano, and E. Takimoto, “Efficient Reformulation of 1-norm Ranking SVM,” IEICE Transactions on Information and Systems, to appear，vol. E101-D,No.3, pp. 719-729, 2018. [pdf] (Preliminary version appeared in ALT'11.)
K. Moridomi, K. Hatano, and E. Takimoto, “Tighter generalization bounds for matrix completion via factorization into constrained matrices,” IEICE Transactions on Information and Systems, vol. E101.D no. 8, pp. 1997-2004 , 2018. [DOI][pdf]
N. Ailon, K. Hatano, and E. Takimoto, “Bandit optimization over the permutahedron,” Theoretical Computer Science, vol.650, 92-108, 2016. [DOI] (Preliminary version appeared in ALT'14.)
Y. Ma, T. Zhao, K. Hatano, and M. Sugiyama, “An Online Policy Gradient Algorithm for Continuous State and Action Markov Decision Processes,” Neural Compution, vol.28, no. 3, pp.563–593, 2016. [pdf] (Preliminary version appeared in ECML'14.)
K. Teraoka, K. Hatano, and E. Takimoto, “Efficient Sampling Method for Monte Carlo Tree Search,” IEICE Trans. Inf. Syst., vol.E97-D, no. 3, pp.392–398, 2014. [pdf]
S. Yoshida, K. Hatano, E. Takimoto, and M. Takeda, “Adaptive Online Prediction using Weighted Windows,” IEICE Trans. Inf. Syst., vol.94-D, no. 10, pp.1917–1923, 2011. [pdf]
L. Wang, M. Sugiyama, C. Yang, K. Hatano, and J. Fung, “Theory and Algorithms for Learning with Dissimilarity Functions,” Neural Comput., vol.21, no. 5, pp.1459–1484, 2009. [pdf]
K. Hatano, “A Simple Boosting Algorithm Using Multi-Way Branching Decision Trees,” Theory Comput. Syst., vol.37, no. 4, pp.503–518, 2004. [pdf] (Preliminary version was appeared in ALT'01.)
Y. Liu, K. Hatano, E. Takimoto, "Improved Algorithms for Online Load Balancing," Proceedings of the 47 th International Conference on Current Trends in Theory and Practice of Informatics(SOFSEM 2021), LNCS, volume 12607, 203-217, 2021.[pdf][DOI]
S. Hashima, K. Hatano, E. Takimoto, E. M. Mohamed, "Minimax Optimal Stochastic Strategy (MOSS) For Neighbor Discovery and Selection In Millimeter Wave D2D Networks," Proceedings of the 23rd International Symposium on Wireless Personal Multimedia Communications (WPMC) , 1-6, 2020. [DOI]
Y. Tang, K. Hatano, E. Takimoto, "Recognition of Japanese Historical Hand-Written Characters Based on Object Detection Methods," Proceedings of the 5th International Workshop on Historical Document Imaging and Processing (HIP2019), 72-77, 2019. [pdf][DOI]
F. Miyake, E. Takimoto and K. Hatano, "Succinct Representation of Linear Extensions via MDDs and Its Application to Scheduling Under Precedence Constraints," Proceedings of 30th International Workshop on Combinatorial Algorithms(IWOCA 2019), LNCS, volume 11638,365-377, 2019. [pdf][DOI]
K. Hatano, "Combinatorial Online Prediction," Proceedings of the 2018 International Symposium on Information Theory and Its Applications (ISITA), 40-44, 2018.[pdf] [DOI]
K. Matsumoto, K. Hatano and E. Takimoto, “Decision Diagrams for solving a job scheduling problem under precedence constraints,” Proceedings of the 17th International Symposium on Experimental Algorithms (SEA 2018), LIPICS, vol. 103, 2018. [pdf]
Y. Tang, K. Hatano, E. Ishita, T. Nakatoh, T. Kawahira, "Construction of Japanese Historical Hand-Written Characters Segmentation Data from the CODH Data Sets," Proceedings of the 8th Conference of Japanese Association for Digital Humanities (JADH2018), 2018. [pdf]
K. Hatano, "Can Machine Learning Techniques Provide Better Learning Support for Elderly People?," Proceedings of the 6th International Conference on Distributed, Ambient and Pervasive Interactions: Technologies and Contexts (DAPI 2018), LNCS, vol 10922, 178-187, 2018. [DOI]
T. Fujita, K. Hatano and E. Takimoto, “Boosting over non-deterministic ZDDs,” Proceeding of the 12th International Conference and Workshops on Algorithms and Computation (WALCOM 2018), LNCS vol.10755, 195-206, 2018. [pdf]
E. Ishita, T. Nakatoh, K. Hatano, and M. Takayama, “An Attempt to Promote Open Data for Digital Humanities in Japanese University Libraries,” Proceedings of the 18th International Conference on Asia-Pacific Digital Libraries (ICADL 2016), LNCS, vol.10075, pp.269–274, 2016.
T. Nakazono, K. Moridomi, K. Hatano, and E. Takimoto, “A Combinatorial Metrical Task System Problem under the Uniform Metric,” Proceedings of the 26th International Conference on Algorithmic Learning Theory (ALT 2016), LNCS, vol.9926, pp.276–287, 2016. [pdf]
A. Shibagaki, M. Karasuyama, K. Hatano, and I. Takeuchi, “Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling,” Proceedings of The 33rd International Conference on Machine Learning (ICML 2016), JMLR W&CP, vol.48, pp.1577–1586, 2016. [pdf]
I. Matsumoto, K. Hatano, and E. Takimoto, “Online Density Estimation of Bradley-Terry Models,” Proceedings of the 28th Conference on Learning Theory (COLT 2015), JMLR W&CP vol.40, pp.1343–1359, 2015. [pdf]
T. Fujita, K. Hatano, S. Kijima, and E. Takimoto, “Online Linear Optimization for Job Scheduling under Precedence Concstraints,” Proceedings of 26th International Conference on Algorithmic Learning Theory(ALT 2015), LNCS, vol.6331, pp.345–359, 2015. [pdf]
K. Moridomi, K. Hatano, E. Takimoto, and K. Tsuda, “Online matrix prediction for sparse loss matrices,” Proceedings of the Sixth Asian Conference on Machine Learning (ACML 2014), JMLR W&CP, vol.39, pp.250–265, 2015. [pdf]
T. Fujita, K. Hatano, and E. Takimoto, “Combinatorial Online Prediction via Metarounding,” Proceedings of 24th Annual Conference on Algorithmic Learning Theory (ALT 2013), LNCS, vol.8139, pp.68–82, 2013. [pdf]
D. Suehiro, K. Hatano, S. Kijima, E. Takimoto, and K. Nagano, “Online Prediction under Submodular Constraints,” Proceedings of 23th Annual Conference on Algorithmic Learning Theory (ALT 2012), LNCS, vol.7568, pp.260–274, 2012. [pdf]
S. Yasutake, K. Hatano, E. Takimoto, and M. Takeda, “Online Rank Aggregation,” Proceedings of 4th Asian Conference on Machine Learning (ACML2012), JMLR W&CP, vol.25, pp.539–553, 2012. [pdf]
Y. Anan, K. Hatano, H. Bannai, M. Takeda, and K. Satoh, “Polypohic Music Classification on Symbol Data Using Dissimilarity Functions,” Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR 2012), pp.229–234, 2012. [pdf]
S. Yasutake, K. Hatano, S. Kijima, E. Takimoto, and M. Takeda, “Online Linear Optimization over Permutations,” Proceedings of the 22nd International Symposium on Algorithms and Computation (ISAAC 2011), LNCS, vol.7074, pp.534–543, 2011. [pdf]
Y. Anan, K. Hatano, H. Bannai, and M. Takeda, “Music Genre Classification using Similarity Functions,” Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR 2011), pp.693–698, 2011. [pdf]
K. Kashihara, K. Hatano, H. Bannai, and M. Takeda, “Sparse Substring Pattern Set Discovery using Linear Programming Boosting,” Proceedings of the 13th International Conference on Discovery Science (DS 2010), LNCS, vol.6332, pp.132–143, 2010. [pdf]
M. Momma, K. Hatano, and H. Nakayama, “Ellipsoidal Support Vector Machines,” Proceedings of the 2nd Asian Conference on Machine Learning (ACML 2010), JMLR W&CP, vol.13, pp.31–46, 2010.
K. Hatano and E. Takimoto, “Linear Programming Boosting by Column and Row Generation,” Proceedings of the 12th International Conference on Dicovery Science (DS 2009), LNCS, vol.5808, pp.401–408, 2009. [pdf]
K. Narisawa, H. Bannnai, K. Hatano, S. Inenaga, and M. Takeda, “String Kernels Based on Variable-Length-Don’t-Care Patterns,” Proceedings of the 11th International Conference on Discovery Science (DS 2008),LNCS, vol.5255, pp.308–318, 2008.
K. Ishibashi, K. Hatano, and M. Takeda, “Online Learning of Maximum p-Norm Margin Classifiers with Bias,” Proceedings of the 21st Annual Conference of Learning Theory (COLT 2008), pp.69–80, 2008. [pdf]
H. Kobayashi, K. Hatano, A. Ishino, and A. Shinohara, “Autonomous Learning of Ball Passing by Four-legged Robots and Trial Reuction by Thinning-out and Surrogate Functions,” Proceedings of the 10th international conference on Intelligent Autonomous Systems (IAS-10), pp.145–154, 2008.
J. Moribe, K. Hatano, E. Takimoto, and M. Takeda, “Smooth Boosting for Margin-Based Ranking,” Proceedings of the 19th International Conference on Algorithmic Learning Theory (ALT 2008), LNCS, vol.5254, pp.227–239, 2008.
H. Kobayashi, K. Hatano, A. Ishino, and A. Shinohara, “Reducing Trials by Thinning-out in Skill Discovery,” Proceedings of the 10th International Conference on Discovery Science (DS 2007), LNCS, vol.4755, pp.127–138, 2007.
K. Narisawa, H. Bannnai, K. Hatano, and M. Takeda, “Unsupervised Spam Detection based on String Alienness Measures,” Proceedings of the 10th International Conference on Discovery Science (DS 2007), LNCS, vol.4755, pp.161–172, 2007.
K. Hatano, “Smooth Boosting Using an Information-based Criterion,” Proceedings of the 17 th International Conference on Algorithmic Learning Theory (ALT 2006), LNCS, vol.4264, pp.304–319, 2006. [pdf]
H. Bannai, K. Hatano, S. Inenaga, and M. Takeda, “Practical Algorithms for Pattern Based Linear Regression,” Proceedings of the 8th International Conference on Discovery Science (DS 2005), LNCS, vol.3735, pp.44–56, 2005.
K. Hatano and O. Watanabe, “Learning r-of-k Functions by Boosting,” Proceedings of the 15th International Conference on Algorithmic Learning Theory (ALT 2004), LNCS,vol.3244, pp.114–126, 2004.
K. Hatano and M. K. Warmuth, “Boosting versus Covering,” Advances in Neural Information Processing Systems 16 (NIPS 2003), 2003. [pdf]