@book{CTT100783048,
  author = {金森敬文},
  title = {Pythonで学ぶ統計的機械学習},
  publisher = {オーム社},
  year = 2018,
}

@book{CTT100783043,
  author = {金森敬文},
  title = {Rによる機械学習入門},
  publisher = {オーム社},
  year = 2017,
}

@book{CTT100660187,
  author = {Sugiyama, M. and Suzuki, T. and Kanamori, T.},
  title = {Density Ratio Estimation in Machine Learning},
  publisher = {},
  year = 2012,
}

@book{CTT100495332,
  author = {Takafumi KANAMORI},
  title = {A New Sequential Algorithm for Regression Problems by using Mixture Distribution},
  publisher = {Artificial Neural Networks ICANN 2002},
  year = 2002,
}

@article{CTT100783045,
  author = {Hiroaki Sasaki and Takafumi Kanamori and Aapo Hyvarinen and Masashi Sugiyama},
  title = {Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios},
  journal = {Journal of Machine Learning Research},
  year = 2018,
}

@article{CTT100783038,
  author = {Takafumi Kanamori and Takashi Takenouchi},
  title = {Graph-based Composite Local Bregman Divergences on Discrete Sample Spaces},
  journal = {Neural Networks},
  year = 2017,
}

@article{CTT100783039,
  author = {Takafumi Kanamori and Shuhei Fujiwara and Akiko Takeda},
  title = {Robustness of Learning Algorithms using Hinge Loss with Outlier Indicators},
  journal = {Neural Networks},
  year = 2017,
}

@article{CTT100783040,
  author = {Kota Matsui and Wataru Kumagai and Takafumi Kanamori},
  title = {Parallel Distributed Block Coordinate Descent Methods based on Pairwise Comparison Oracle},
  journal = {Journal of Global Optimization},
  year = 2017,
}

@article{CTT100783041,
  author = {Takashi Takenouchi and T. Kanamori},
  title = {Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences},
  journal = {Journal of Machine Learning Research},
  year = 2017,
}

@article{CTT100783044,
  author = {Shuhei Fujiwara and Akiko Takeda and Takafumi Kanamori},
  title = {DC Algorithm for Extended Robust Support Vector Machine},
  journal = {Neural Computation},
  year = 2017,
}

@article{CTT100660176,
  author = {Yamada, M. and Suzuki, T. and Kanamori, T. and Hachiya, H. and Sugiyama, M.},
  title = {Relatiive density-ratio estimationfor robust distribution comparision},
  journal = {Neural Computation},
  year = 2013,
}

@article{CTT100660181,
  author = {Kanamori and Suzuki, T. and Sugiyama, M.},
  title = {Computational complexity of kernel-based density-ratio estimation:A condition number analysis},
  journal = {Machine Learning},
  year = 2013,
}

@article{CTT100660146,
  author = {Sugiyama, M. and Suzuki, T. and Kanamori, T. and Du Plessis, M.C. and Liu, S. and & Takeuchi, I.},
  title = {Density-difference estimation},
  journal = {Neural Computation},
  year = 2013,
}

@article{CTT100660172,
  author = {Sugiyama, M. and Liu, S. and Du Plessis, M.C. and Yamanaka, M. and Yamada, M. and Suzuki, T. and & Kanamori, T.},
  title = {Direct divergence approximationbetween probability distributions and its applications inmachine learning},
  journal = {Journal of Computing Science and Engineering},
  year = 2013,
}

@article{CTT100660277,
  author = {Kanamori, T. and Suzuki, T. and Sugiyama, M.},
  title = {Statistical analisis of kernel-based least-squares density-ratio estimation},
  journal = {Machine Learning},
  year = 2012,
}

@article{CTT100660273,
  author = {Sugiyama, M. and Suzuki, T. and Kanamori, T},
  title = {Density ratio matching under the Bregman divergence:A unified framework of density ratio estimation},
  journal = {Annals of the Institlute of Statistical Mathematics},
  year = 2012,
}

@article{CTT100660279,
  author = {Kanamori, T. and Suzuki, T. and Sugiyama, M.},
  title = {F-divergence estimation and two-sample homogeneity test under semiparametric density-ratio models},
  journal = {IEEE Transactions on Information Theory},
  year = 2012,
}

@article{CTT100599754,
  author = {Kanamori, T. and Suzuki, T. and Sugiyama, M.},
  title = {Theoretical analysis of density ratio estimation},
  journal = {IEICE Transactions on Fundamentals of Electronics，Communication and Computer Sciences，},
  year = 2010,
}

@article{CTT100599748,
  author = {Hido, S. and Tsuboi, Y. and Kashima, H. and Sugiyama, M. and Kanamori, T.},
  title = {Statistical outlier detection using direct density ratio estimation.},
  journal = {Knowledge and Information Systems},
  year = 2010,
}

@article{CTT100604103,
  author = {Sugiyama, M. and Takeuchi, I. and Kanamori, T. and Suzuki, T. and Hachiya, H. and Okanohara, D.},
  title = {Least-squares conditional density estimation.},
  journal = {IEICE Transactions on Infromation and Systems,},
  year = 2010,
}

@article{CTT100582880,
  author = {Kanamori, T. and Hido, S. and Sugiyama, M.},
  title = {A least-squares approach to direct importance estimation.},
  journal = {Journal of Machine Learning Research},
  year = 2009,
}

@article{CTT100582785,
  author = {Sugiyama, M. and Kanamori, T. and Suzuki, T. and Hido, S. and Sese, J. and Takeuchi, I. and Wang, L.},
  title = {A density-ratio framework for statistical data processing.},
  journal = {IPSJ Transactions on Computer Vision and Applications,},
  year = 2009,
}

@article{CTT100405713,
  author = {村田昇 and 金森敬文 and 竹之内高志},
  title = {ブースティングと学習アルゴリズム},
  journal = {電子情報通信学会誌},
  year = 2005,
}

@article{CTT100405711,
  author = {Takafumi Kanamori and Ichiro Takeuchi},
  title = {Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions},
  journal = {Computational Statistics & Data Analysis},
  year = 2005,
}

@article{CTT100505235,
  author = {Takafumi KANAMORI},
  title = {Robust Boosting and Loss Functions},
  journal = {IEICE technical Report},
  year = 2004,
}

@article{CTT100505234,
  author = {Takafumi KANAMORI},
  title = {The most robust loss function for boosting},
  journal = {Lecture Notes in Computer Science Neural Information Processing},
  year = 2004,
}

@article{CTT100505232,
  author = {Murata, N. and Takenouchi, T. and Kanamori, T. and Eguchi, S.},
  title = {Information Geometry of U-Boost and Bregman Divergence},
  journal = {Neural Computation},
  year = 2004,
}

@article{CTT100505236,
  author = {Takafumi KANAMORI},
  title = {Recent Development of Ensemble Learning},
  journal = {SICE symposium on Intelligent Systems},
  year = 2004,
}

@article{CTT100505237,
  author = {Takafumi KANAMORI},
  title = {Statistical Models for Multi-Class Classification and Integrability of Estimation Equations},
  journal = {Proceedings of Information-Based Induction Sciences},
  year = 2004,
}

@article{CTT100505238,
  author = {Takafumi KANAMORI},
  title = {Integrability of moment methos and loss functions for multi-class classification},
  journal = {Proceedings of JSS},
  year = 2004,
}

@article{CTT100505239,
  author = {Takafumi KANAMORI},
  title = {Estimation of pure premium damage of damage insurance by using quantile regressions},
  journal = {Proceedings of JSS},
  year = 2004,
}

@article{CTT100495339,
  author = {Takafumi KANAMORI},
  title = {Estimation of conditional mean by the linear combination of quantile regression under heteroscedastic asymmetric errors},
  journal = {IEICE technical Report},
  year = 2003,
}

@article{CTT100495329,
  author = {Taiafumi Kanamori and Hidetoshi Shimodaira},
  title = {Active Learning algorithm using the maximum weighted log-likelihood estimator},
  journal = {Journal of Statistical Planning and Inference},
  year = 2003,
}

@article{CTT100495328,
  author = {Takafumi Kanamori and Noboru Murata},
  title = {Boosting and its robustness},
  journal = {Journal of IEICE},
  year = 2003,
}

@article{CTT100495330,
  author = {Yoshua Bengio and Ichiro Takeuchi and Takafumi Kanamori},
  title = {Robust Regression with Asymmetric Heavy-Tail Noise Distributions},
  journal = {Neural Computation},
  year = 2002,
}

@article{CTT100495333,
  author = {Takafumi KANAMORI},
  title = {The Challenge of Non-Linear Regression on Large Datasets with Asymmetric Heavy Tails},
  journal = {Proceedings of the Joint Statistical Meeting},
  year = 2002,
}

@article{CTT100495331,
  author = {Takafumi KANAMORI},
  title = {Statistical Asymptotic Theory of Active Learning},
  journal = {Annals of the Institute of Statistical Mathematics},
  year = 2002,
}

@article{CTT100459738,
  author = {Takafumi Kanamori and Hidetoshi Shimodaira},
  title = {An Active Learning Algorithm Using an Information Criterion for the Maximum Weighted Log-likelihood Estimator},
  journal = {Proceedings of the Institute of Statistical Mathematics},
  year = 2000,
}

@article{CTT100459737,
  author = {Takafumi KANAMORI},
  title = {Active Learning Algorighm using Maximum Weighted Likelihood Estimator},
  journal = {Bulletin of the Computational Statistics of Japan},
  year = 1998,
}

@inproceedings{CTT100783047,
  author = {takafumi kanamori},
  title = {Statistical inference with unnormalized models},
  booktitle = {},
  year = 2018,
}

@inproceedings{CTT100783046,
  author = {takafumi kanamori},
  title = {Statistical inference with unnormalized models},
  booktitle = {},
  year = 2018,
}

@inproceedings{CTT100783042,
  author = {Hiroaki Sasaki and Takafumi Kanamori and Masashi Sugiyama},
  title = {Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100660115,
  author = {Nguyen, T.D. and Du Plessis, M.C. and Kanamori, T. and & Sugiyama, M.},
  title = {Constrained least-squares density-difference estimation},
  booktitle = {IEICE Technical Report},
  year = 2013,
}

@inproceedings{CTT100633553,
  author = {金森 敬文 and 鈴木 大慈 and 杉山 将.},
  title = {密度比の推定による２標本検定.},
  booktitle = {2010年度統計関連学会連合大会,},
  year = 2012,
}

@inproceedings{CTT100660235,
  author = {Sugiyama, M. and Suzuki, T. and Kanamori, T. and Du Plessis, M.C. and Liu, S. and Takeuchi, I.},
  title = {Density-difference estimation},
  booktitle = {Advances in Neural Information Processing Systems 25},
  year = 2012,
}

@inproceedings{CTT100605114,
  author = {Sugiyama, M. and Takeuchi, I. and Kanamori, T. and Suzuki, T. and Hachiya, H. and Okanohara, D.},
  title = {Conditional density estimation via least-squares density ratio estimation.},
  booktitle = {In Proceedings of Thirteenth Conference on Artificial Intelligence and Statistics (AISTATS2010),},
  year = 2010,
}

@inproceedings{CTT100605112,
  author = {Sugiyama, M. and Hara, S. and von Bünau, P. and Suzuki, T. and Kanamori, T. and Kawanabe, M.},
  title = {Direct density ratio estimation with dimensionality reduction.},
  booktitle = {Proceeding of the 10th SIAM International Conference on Data Mining(SDM2010)},
  year = 2010,
}

@inproceedings{CTT100605275,
  author = {Kanamori, T. and Suzuki, T. and Sugiyama, M.},
  title = {Theoretical analysis of density ratio estimation.},
  booktitle = {In Proceedings of the Japanese Society for Artificial Intelligence,},
  year = 2010,
}

@inproceedings{CTT100599769,
  author = {Sugiyama, M. and Takeuchi, I. and Suzuki, T. and Kanamori, T. and Hachiya, H. and Okanohara, D.},
  title = {Conditional density estimation based on density ratio estimation.},
  booktitle = {IPSJSIGTechnicalReport,},
  year = 2009,
}

@inproceedings{CTT100592360,
  author = {Sugiyama, M. and Hara, S. and von Bünau, P. and Suzuki, T. and Kanamori, T. and Kawanabe, M.},
  title = {Dimensionality reduction for density ratio estimation based on Pearson divergence maximization.},
  booktitle = {},
  year = 2009,
}

@inproceedings{CTT100589725,
  author = {Kanamori, T. and Suzuki, T. and Sugiyama, M.},
  title = {Condition number analysis of density ratio estimation.},
  booktitle = {},
  year = 2009,
}

@inproceedings{CTT100585251,
  author = {Kanamori, T. and Suzuki, T. and Sugiyama, M.},
  title = {Condition number analysis of kernel-based density ratio estimation.},
  booktitle = {},
  year = 2009,
}

@inproceedings{CTT100576896,
  author = {Kanamori, T. and Hido, S. and Sugiyama, M.},
  title = {Learning and density ratio estimation under covariate shift.},
  booktitle = {The 2008 Japanese Joint Statistical Meeting},
  year = 2008,
}

@inproceedings{CTT100575849,
  author = {Sugiyama, M. and Kanamori, T. and Suzuki, T. and Hido, S. and Sese, J. and Takeuchi, I. and Wang, L.},
  title = {Direct importance estimation - A new versatile tool for statistical pattern recognition},
  booktitle = {Meeting on Image Recognition and Understanding 2008 (MIRU2008)},
  year = 2008,
}

@inproceedings{CTT100575857,
  author = {Suzuki, T. and Sugiyama, M. and Sese, J. and Kanamori, T.},
  title = {A least-squares approach to mutual information estimation with application in variable selection},
  booktitle = {In Proceedings of Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery 2008 (FSDM2008)},
  year = 2008,
}

@inproceedings{CTT100405709,
  author = {Takafumi Kanamori},
  title = {Integrability of Weak Learner on Boosting},
  booktitle = {to appear},
  year = 2005,
}

@inproceedings{CTT100405705,
  author = {Akiko Takeda and Takafumi Kanamori},
  title = {Conditional Value-at-Risk Approach to Robust Optimization and Applications to Statistical Learning under Distribution Perturbation},
  booktitle = {Proceedings of Information-Based Induction Science},
  year = 2005,
}

@inproceedings{CTT100405704,
  author = {竹内一郎 and 野村要 and 金森敬文},
  title = {区間線型パス追跡法による条件付分位点パスの計算},
  booktitle = {},
  year = 2005,
}

@inproceedings{CTT100405707,
  author = {Takafumi Kanamori and Ichiro Takeuchi},
  title = {Estimators for Conditional Expectations under Asymmetric and Heteroscedastic Error Distribution},
  booktitle = {Institute of Statistical Mathematics},
  year = 2005,
}

@misc{CTT100785189,
  author = {金森敬文 and 樺島祥介 and 高安美佐子 and 中野 張 and 福田光浩 and 三好直人 and 山下  真 and 渡邊澄夫},
  title = {東京工業大学情報理工学院数理・計算科学系―情報の未来を作り出す数理的アプローチを探究する―},
  year = 2019,
}

@misc{CTT100604493,
  author = {Sugiyama, M. and Suzuki, T. and Kanamori, T.},
  title = {Density ratio estimation: A comprehensive review.},
  year = 2010,
}

@misc{CTT100596323,
  author = {takafumi kanamori},
  title = {Statistical Asymptotic Theory of Active Learning},
  year = 1999,
}

@misc{CTT100869584,
  author = {金森敬文 and 前　佑樹},
  title = {演算装置および学習済みモデル},
  howpublished = {公開特許},
  year = 2021,
  month  = {},
  note   = {PCT/JP2020/035254(2020/09/17), WO 2021/095361(2021/05/20)}
}


@misc{CTT100909673,
  author = {金森敬文 and 前　佑樹　},
  title = {演算装置および学習済みモデル},
  howpublished = {登録特許},
  year = 2023,
  month  = {},
  note   = {特願2021-555926(2020/09/17), 特許第7386462号(2023/11/16)}
}




@phdthesis{CTT100596323,
  author = {takafumi kanamori},
  title = {Statistical Asymptotic Theory of Active Learning},
  school = {総合研究大学院大学},
  year = 1999,
}