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All publications by Hisashi Kashima
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Latent Confusion Analysis by Normalized Gamma Construction
Issei Sato, Hisashi Kashima and Hiroshi Nakagawa
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Fast Computation of Subpath Kernel for Trees
Daisuke Kimura and Hisashi Kashima
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Statistical Performance of Convex Tensor Decomposition
Ryota Tomioka, Taiji Suzuki, Kohei Hayashi and Hisashi Kashima
Advances in Neural Information Processing Systems 24, 2011


A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices
Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama and Hisashi Kashima
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Nonparametric Return Distribution Approximation for Reinforcement Learning
Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya and Toshiyuki Tanaka
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Multi-Task Learning via Conic Programming
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama and Kiyoshi Asai
Advances in Neural Information Processing Systems 20, 2007


Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul V. Buenau and Motoaki Kawanabe
Advances in Neural Information Processing Systems 20, 2007


Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
Hisashi Kashima and Yuta Tsuboi
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Marginalized Kernels Between Labeled Graphs
Hisashi Kashima, Koji Tsuda and Akihiro Inokuchi
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003