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Hironori Fujisawa
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Journal Articles
- 2021
- [j10]Kazuharu Harada, Hironori Fujisawa:
Sparse estimation of Linear Non-Gaussian Acyclic Model for Causal Discovery. Neurocomputing 459: 223-233 (2021) - 2020
- [j9]Masaaki Takada, Taiji Suzuki, Hironori Fujisawa:
Independently Interpretable Lasso for Generalized Linear Models. Neural Comput. 32(6): 1168-1221 (2020) - 2018
- [j8]Shuichi Kawano
, Hironori Fujisawa, Toyoyuki Takada, Toshihiko Shiroishi:
Sparse principal component regression for generalized linear models. Comput. Stat. Data Anal. 124: 180-196 (2018) - 2017
- [j7]Takayuki Kawashima, Hironori Fujisawa:
Robust and Sparse Regression via γ-Divergence. Entropy 19(11): 608 (2017) - [j6]Kei Hirose, Hironori Fujisawa, Jun Sese:
Robust sparse Gaussian graphical modeling. J. Multivar. Anal. 161: 172-190 (2017) - 2016
- [j5]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: 165-184 (2016) - 2015
- [j4]Shuichi Kawano
, Hironori Fujisawa, Toyoyuki Takada, Toshihiko Shiroishi:
Sparse principal component regression with adaptive loading. Comput. Stat. Data Anal. 89: 192-203 (2015) - 2009
- [j3]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) - 2006
- [j2]Tadayoshi Fushiki, Hironori Fujisawa, Shinto Eguchi
:
Identification of biomarkers from mass spectrometry data using a "common" peak approach. BMC Bioinform. 7: 358 (2006) - 2004
- [j1]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): 718-726 (2004)
Conference and Workshop Papers
- 2020
- [c5]Masaaki Takada, Hironori Fujisawa:
Transfer Learning via ℓ1 Regularization. NeurIPS 2020 - 2019
- [c4]Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa:
HMLasso: Lasso with High Missing Rate. IJCAI 2019: 3541-3547 - 2018
- [c3]Masaaki Takada, Taiji Suzuki, Hironori Fujisawa:
Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables. AISTATS 2018: 454-463 - 2012
- [c2]Hironori Fujisawa
, Yuta Iwamoto, Seiji Nakashima
, Masaru Shimizu:
Fabrication of PZT/ZnO Core-Shell Nanowires by Metalorganic Chemical Vapor Deposition. ICETET 2012: 57-60 - [c1]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: 128-131
Informal and Other Publications
- 2023
- [i6]Masaaki Takada, Hironori Fujisawa:
Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective. CoRR abs/2308.15838 (2023) - 2020
- [i5]Takeyuki Sasai, Hironori Fujisawa:
Robust estimation with Lasso when outputs are adversarially contaminated. CoRR abs/2004.05990 (2020) - [i4]Masaaki Takada, Hironori Fujisawa:
Transfer Learning via 𝓁1 Regularization. CoRR abs/2006.14845 (2020) - [i3]Kazuharu Harada, Hironori Fujisawa:
Estimation of Structural Causal Model via Sparsely Mixing Independent Component Analysis. CoRR abs/2009.03077 (2020) - [i2]Takeyuki Sasai, Hironori Fujisawa:
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion. CoRR abs/2010.13018 (2020) - 2018
- [i1]Masaaki Takada, Hironori Fujisawa, Takeichiro Nishikawa:
HMLasso: Lasso for High Dimensional and Highly Missing Data. CoRR abs/1811.00255 (2018)
Coauthor Index
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