# Publications

## Articles

__Masahiro Kobayashi__, Kazuho Watanabe, "Generalized Dirichlet-process-means for f-separable distortion measures," to appear in Neurocomputing, 2021. <arXiv>__M. Kobayashi__, K. Watanabe, "A rate-distortion theoretic view of Dirichlet process means clustering," IEICE Transactions on Fundamentals, vol. J100-A, no.12 , pp.475-486, Dec. 2017 (in Japanese). <Open access>

**Dec. 2017, Jul. 2018 to Mar. 2019, IEICE-A Most downloaded paper**(Entering Top 4 for 16 consecutive months)

## International conference

__Masahiro Kobayashi__, Kazuho Watanabe, "Unbiased Estimation Equation under f-Separable Bregman Distortion Measures, " Proc. of the IEEE Information Theory Workshop (ITW2020), Virtual conf. (Riva del Garda, Italy), pp.311-315, Apr. 2021. <arXiv>- Daisuke Kaji, Kazuho Watanabe,
__Masahiro Kobayashi__, "Multi-Decoder RNN Autoencoder Based on Variational Bayes Method," Proc. of International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, pp.19-24, July 2020. <arXiv> __Masahiro Kobayashi__, Kazuho Watanabe, "Unbiased Estimation Equation Under f-Separable Extension of Squared and Itakura-Saito Distances," Data Science, Statistics & Visualisation (DSSV), Doshisha University, Kyoto, Japan, Poster, Aug. 2019.__Masahiro Kobayashi__, Kazuho Watanabe, "Generalized Dirichlet-Process-Means for Robust and Maximum Distortion Criteria," Proc. of International Symposium on Information Theory and Its Applications (ISITA), Singapore, pp.45-49, Oct. 2018.

## Preprint

## Domestic conference (in Japanese)

__M. Kobayashi__, K. Watanabe, "Robust Non-Negative Matrix Factorization based on f-Separable Bregman Distortion Measures," Proc. of SITA2019, pp. 366-371, Nov. 2019.__M. Kobayashi__, K. Watanabe, "Unbiased Estimation Equation for f-Separable Bregman Distortion Measures and the Properties of Its Estimators," Technical Report of IEICE, IT2019-22, pp.37-42, Jul. 2019.__M. Kobayashi__, K. Watanabe, "Dirichlet-Process-Means for f-Separable Distortion Measures and Analysis of Robustness," Proc. of SITA2018, pp. 359-364, Dec. 2018.__M. Kobayashi__, K. Watanabe, "Generalized Dirichlet-Process-Means with f-Mean and Analysis of Influence Function," Technical Report of IEICE, IBISML2018-50, pp.45-52, Nov. 2018.__M. Kobayashi__, K. Watanabe, "Generalized Dirichlet Process Means Clustering Including Maximum Distortion Minimization," Proc. of SITA2017, pp. 31-36, Nov. 2017.- D. Kaji,
__M. Kobayashi__, K. Watanabe, "Extraction of Distribtion Changes using On-line t-SNE," Technical Report of IEICE, IBISML2017-36, pp.9-13, Nov. 2017. __M. Kobayashi__, K. Watanabe, "Generalized Distortion Measures in Dirichlet Process Means Clustering," SITA2016, Poster Session, Dec. 2016.__M. Kobayashi__, K. Watanabe, "A rate-distortion theoretic view of the threshold parameter of Dirichlet Process means," Proceedings of the 2016 IEICE General Conference: Student Poster Session, p.187, Mar. 2016.

## Doctoral thesis

__M. Kobayashi__, "Machine Learning Algorithms for f-Separable Bregman Distortion Measures and Analysis of Statistical Properties," Toyohashi University of Technology, June 2021.

## Awards

__M. Kobayashi__，**Student Award**，Toyohashi University of Technology, Mar. 2021.__M. Kobayashi__，**SITA Young Researcher Paper Award**，Aug. 2020.__M. Kobayashi__，**IEICE Tokai Section Student Award 2017**，Jun. 2018．__M. Kobayashi__， "An Information Theoretic View of Dirichlet Process Means Clustering and Generalized Distortion Measures," Dept. of Computer Science and Engineering, Toyohashi University of Technology, Master's thesis research presentation,**Best Special Research Presentation Award**, Feb. 2018. (in Japanese)