Masaaki Takada
高田 正彬
Name
Masaaki Takada
Affiliation
Research Scientist, System AI Lab., Advanced Intelligent Systems, Corporate R&D Center, Toshiba Corporation.
Visiting Associate Professor, Risk Analysis Research Center, The Institute of Statistical Mathematics.
Research Topics
I am interested in Statistical Machine Learning, especially the following topics:
High-Dimensional Statistical Learning / Sparse Estimation.
Real Data Analysis for Manufacturing, Energy, Medical, and so on.
Recent Activities
A prepreint entitled "Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective" is now available on arXiv. (2023/08)
I became a visiting associate professor at the Institute of Statistical Mathematics. (2021/04)
We received an outstanding presentation award at IBIS2020. (2021/01)
CV
2016-present: Research and Development Center, Toshiba Corporation.
2021-present: Visiting Associate Professor, The Institute of Statistical Mathematics.
2017-2020: Department of Statistical Science, School of Multidisciplinary Sciences, The Graduate University for Advanced Studies (SOKENDAI). (Ph.D.)
2012-2015: Systems Research and Development Center, NS Solutions Corporation.
2010-2012: Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo. (M.S.)
2008-2010: Department of Mathematical Engineering and Information Physics, Faculty of Engineering, The University of Tokyo. (B.S.)
2006-2008: Natural sciences 1, Collage of arts and sciences, The University of Tokyo.
Award
The 23rd Workshop on Information-Based Induction Sciences (IBIS2020), Outstanding Presentation Award (2020)
The Graduate University for Advanced Studies (SOKENDAI), School of Multidisciplinary Sciences Dean's Award (2020)
The Institute of Statistical Mathematics, Outstanding Student Award (2020)
Tokyo Electric Power Company Holdings, First Electricity Load Forecasting Technology Contest, 1st Prize (2017)
The Japanese Society for Artificial Intelligence, Field Innovation Award, Gold Prize (2016)
KDD Cup, 2nd Prize (2015)
The 1st International Symposium on Innovative Mathematical Modelling, Poster Gold Prize (2011)
Publications
Journal Papers
Takada, M., Suzuki, T., & Fujisawa, H. (2020). "Independently Interpretable Lasso for Generalized Linear Models". Neural Computation, 32(6), 1168--1221.
Takada, M., Hori, Y., & Hara, S. (2014). "Comments and Corrections on “Stability of Genetic Regulatory Networks With Time Delay". IEEE Transactions on Circuits and Systems I: Regular Papers, 61(9), 2771--2774.
Hori, Y., Takada, M., & Hara, S. (2013). "Biochemical oscillations in delayed negative cyclic feedback: Existence and profiles". Automatica, 49(9), 2581--2590.
Conference Papers
Takada, M., & Fujisawa, H. (2020). "Transfer Learning via $ell_1$ Regularization". Advances in Neural Information Processing Systems (NeurIPS2020), 33, 14266--14277. (Acceptance Rate: 20.1%)
Ko, M., Inagi, T., Takada, M., & Yano, T. (2019) "Application of Feature Selection Method to Error Factor Extraction of Multifunction Peripheral". In Proceedings of IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2019) (pp. 1043--1047).
Takada, M., Fujisawa, H., & Nishikawa, T. (2019). "HMLasso: Lasso with High Missing Rate". In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI2019) (pp.3541--3547). (Acceptance Rate: 17.9%)
Takada, M., Suzuki, T., & Fujisawa, H. (2018). "Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables". In Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics (AISTATS2018) (pp.454--463). PMLR, 84. (Acceptance Rate: 33.2%)
Takada, M., Hori, Y., & Hara, S. (2010). "Existence conditions for oscillations in cyclic gene regulatory networks with time delay". IEEE International Conference on Control Applications (pp. 830--835).
Preprint
Takada, M., & Fujisawa, H. (2023). "Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective". arXiv preprint arXiv:2308.15838.
Japanese publications are excluded.
Presentations
International Conferences
The above publications are excluded.
Takada, M., & Fujisawa, H. (2021). "Transfer learning on regression problem". The 4th International Conference on Econometrics and Statistics (EcoSta2021).
Takada, M., Saiki, S., Sueyoshi, S., Eguchi, H., & Nishikawa, T. (2017). "Intelligent Causal Analysis System for Wafer Quality Control using Sparse Modeling". AEC/APC Symposium Asia 2017.
Takada, M., & Aihara, K. (2012). "Cholinergic top-down modulation based on the free-energy principle". The Seventeenth International Symposium on Artificial Life and Robotics (AROB2012) (pp. 569--572).
Takada, M., & Aihara, K. (2011). "Acetylcholine in cortical learning". The 1st International Symposium on Innovative Mathematical Modelling (ISIMM2011). Poster Gold Prize.
Japanese presentations are excluded.
Patents
Takada, M., Sako, M., & Yamada, H. (2024). US-20240062900-A1.
Li, G., Takada, M., & Ko, M. (2023). US-20230288915-A1.
Kotera, K., Takada, M., Shingaki, R., & Ueno, K. (2023). US-20230152759-A1.
Takada, M., & Li, G. (2022). US-20220391777-A1.
Shingaki, R., & Takada, M. (2022). US-20220083035-A1
Takada, M. (2021). US-20210325837-A1.
Ko, M., Inagi, T., & Takada, M. (2019). US-20200393799-A1.
Takada, M., Fujisawa, H., & Nishikawa, T. (2020). U.S. US-20200073915-A1.
Kakimoto, M., Shin, H., Shiga, Y., & Takada, M. (2019). US-20190138913-A1.
Shiga, Y., Shin, H., Kakimoto, M., & Takada, M. (2019). US-20190139059-A1.
Takada, M., & Nishikawa, T. (2018). US-20180260726-A1.
Takada, M., Furukawa, H., Kohno, H., & Kai, R. (2017). US-20170171212-A1.
Japanese patents are excluded.
Contact
Please feel free to contact me.
tkdmah [at] gmail.com