Hironori Fujisawa

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 16

Top Topics

Causal Discovery

Principal Component Regression

Generalized Linear Models

Compressed Sensing

Top Venues

Comput. Stat. Data Anal.

J. Multivar. Anal.

Publications

Masaaki Takada, Hironori Fujisawa
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective. CoRR (2023)
Kazuharu Harada, Hironori Fujisawa
Sparse estimation of Linear Non-Gaussian Acyclic Model for Causal Discovery. Neurocomputing 459 (2021)
Takeyuki Sasai, Hironori Fujisawa
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion. CoRR (2020)
Masaaki Takada, Taiji Suzuki, Hironori Fujisawa
Independently Interpretable Lasso for Generalized Linear Models. Neural Comput. 32 (6) (2020)
Masaaki Takada, Hironori Fujisawa
Regularization. NeurIPS (2020)
Kazuharu Harada, Hironori Fujisawa
Estimation of Structural Causal Model via Sparsely Mixing Independent Component Analysis. CoRR (2020)
Masaaki Takada, Hironori Fujisawa
Regularization. CoRR (2020)
Takeyuki Sasai, Hironori Fujisawa
Robust estimation with Lasso when outputs are adversarially contaminated. CoRR (2020)
Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa
HMLasso: Lasso with High Missing Rate. IJCAI (2019)
Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa
HMLasso: Lasso for High Dimensional and Highly Missing Data. CoRR (2018)
Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada, Toshihiko Shiroishi
Sparse principal component regression for generalized linear models. Comput. Stat. Data Anal. 124 (2018)
Masaaki Takada, Taiji Suzuki, Hironori Fujisawa
Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables. AISTATS (2018)
Takayuki Kawashima, Hironori Fujisawa
-Divergence. Entropy 19 (11) (2017)
Kei Hirose, Hironori Fujisawa, Jun Sese
Robust sparse Gaussian graphical modeling. J. Multivar. Anal. 161 (2017)
Ting-Li Chen, Hironori Fujisawa, Su-Yun Huang, Chii-Ruey Hwang
On the weak convergence and Central Limit Theorem of blurring and nonblurring processes with application to robust location estimation. J. Multivar. Anal. 143 (2016)
Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada, Toshihiko Shiroishi
Sparse principal component regression with adaptive loading. Comput. Stat. Data Anal. 89 (2015)
Hironori Fujisawa, Yuta Iwamoto, Seiji Nakashima, Masaru Shimizu
Fabrication of PZT/ZnO Core-Shell Nanowires by Metalorganic Chemical Vapor Deposition. ICETET (2012)
Seiji Nakashima, Yusuke Takada, Taiki Ito, Syota Seto, Hironori Fujisawa, Masafumi Kobune, Masaru Shimizu
Preparation and Characterization of High Quality Lead-free BiFeO3 Thin Films by Sputtering Process. ICETET (2012)
Hironori Fujisawa, Youko Horiuchi, Yoshiaki Harushima, Toyoyuki Takada, Shinto Eguchi, Takako Mochizuki, Takayuki Sakaguchi, Toshihiko Shiroishi, Nori Kurata
SNEP: Simultaneous detection of nucleotide and expression polymorphisms using Affymetrix GeneChip. BMC Bioinform. 10 (2009)
Tadayoshi Fushiki, Hironori Fujisawa, Shinto Eguchi
Identification of biomarkers from mass spectrometry data using a "common" peak approach. BMC Bioinform. 7 (2006)
Hironori Fujisawa, Shinto Eguchi, Masaru Ushijima, Satoshi Miyata, Yoshio Miki, T. Muto, Masaaki Matsuura
Genotyping of single nucleotide polymorphism using model-based clustering. Bioinform. 20 (5) (2004)