SASAKI HIROAKI 佐々木博昭

… Alternative Names

Sasaki Hiroaki 佐々木博昭

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Researcher Number	80756916
Other IDs
Affiliation (Current)	2025: 明治学院大学, 情報数理学部, 教授
Affiliation (based on the past Project Information) *help	2024: 明治学院大学, 情報数理学部, 准教授 2023: 公立はこだて未来大学, システム情報科学部, 准教授 2019 – 2020: 公立はこだて未来大学, システム情報科学部, 准教授 2018: 奈良先端科学技術大学院大学, 先端科学技術研究科, 助教 2015 – 2016: 奈良先端科学技術大学院大学, 情報科学研究科, 助教
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related / Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 60030:Statistical science-related / Intelligent informatics
Keywords	Principal Investigator 機械学習 / 多様体 / 次元削減 / ロバスト推定 / 統計的データ解析 / 確率密度関数 / 位相的データ解析 / 幾何学的データ / 教師なし学習 / 教師あり学習 … More / カーネル法 / 十分次元削減 / 因果推論 / 独立成分分析 / 特徴抽出 / 統計的因果推論 / ニューラルネットワーク / 相互情報量最大化 / 外れ値 / 非線形独立成分分析 / 非線形特徴抽出 / 多様体推定 / モード回帰 / クラスタリング / 確率密度微分 Less

幾何学的データ解析手法の開発と位相的データ解析への展開Principal Investigator
- Principal Investigator
  
  佐々木博昭
- Project Period (FY)
  2023 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
  Basic Section 60030:Statistical science-related
  Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
- Research Institution
  Meiji Gakuin University
  Future University-Hakodate
Theory and methods for nonlinear feature extractionPrincipal Investigator
- Principal Investigator
  
  Sasaki Hiroaki
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Future University-Hakodate
  Nara Institute of Science and Technology
Density Derivative Estimation and its ApplicationsPrincipal Investigator
- Principal Investigator
  
  Sasaki Hiroaki
- Project Period (FY)
  2015 – 2016
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Intelligent informatics
- Research Institution
  Nara Institute of Science and Technology

All 2024 2020 2019 2018 2017 2016 2015

All Journal Article Presentation

[Journal Article] Outlier-robust parameter estimation for unnormalized statistical models2024
- Author(s)
  Hiroaki Sasaki & Takashi Takenouchi
- Journal Title
  
  Japanese Journal of Statistics and Data Science
  
  Volume: - Issue: 1 Pages: 1-30
- DOI
  10.1007/s42081-023-00237-8
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K03753, KAKENHI-PROJECT-23K28150
[Journal Article] Robust modal regression with direct log-density derivative estimation2020
- Author(s)
  Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori
- Journal Title
  
  Proceedings of the international conference on uncertainty in artificial intelligence (UAI)
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18107
[Journal Article] Robust contrastive learning and nonlinear ICA in the presence of outliers2020
- Author(s)
  Hiroaki Sasaki, Takashi Takenouchi, Ricardo Monti, Aapo Hyvarinen
- Journal Title
  
  Proceedings of the international conference on uncertainty in artificial intelligence (UAI)
  
  Volume: -
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18107
[Journal Article] Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning2019
- Author(s)
  Aapo Hyvarinen, Hiroaki Sasaki and Richard E. Turner
- Journal Title
  
  Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)
  
  Volume: 89 Pages: 859-868
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18107
[Journal Article] Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction2017
- Author(s)
  Voot Tangkaratt, Hiroaki Sasaki, Masashi Sugiyama
- Journal Title
  
  Neural Computation
  
  Volume: 印刷中
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-15H06103
[Journal Article] Direct Density Derivative Estimation2016
- Author(s)
  Hiroaki Sasaki, Yung-Kyun Noh, Gang Niu Masashi Sugiyama
- Journal Title
  
  Neural Computation
  
  Volume: 印刷中
- Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H06103
[Journal Article] Regularized Multi-task Learning for Multi-Dimensional Log-Density Gradient Estimation2016
- Author(s)
  Ikko Yamane, Hiroaki Sasaki, Masashi Sugiyama
- Journal Title
  
  Neural Computation
  
  Volume: 印刷中
- NAID
  110009971442
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-15H06103
[Journal Article] 確率密度微分の直接推定と機械学習への応用2016
- Author(s)
  佐々木博昭，杉山将
- Journal Title
  
  数理解析研究所講究録
  
  Volume: 1999 Pages: 154-173
- Acknowledgement Compliant / Open Access
- Data Source
  KAKENHI-PROJECT-15H06103
[Presentation] Robust modal regression with direct gradient approximation of modal regression risk2020
- Author(s)
  Hiroaki Sasaki
- Organizer
  Conference on Uncertainty in Artificial Intelligence (UAI 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18107
[Presentation] Robust contrastive learning and nonlinear ICA in the presence of outliers2020
- Author(s)
  Hiroaki Sasaki
- Organizer
  Conference on Uncertainty in Artificial Intelligence (UAI 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18107
[Presentation] Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning2019
- Author(s)
  Aapo Hyvarinen, Hiroaki Sasaki and Richard E. Turner
- Organizer
  International Conference on Artificial Intelligence and Statistics (AISTATS)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18107
[Presentation] Robust modal regression with direct log-density derivative estimation2019
- Author(s)
  佐々木博昭，坂井智哉，金森敬文
- Organizer
  第22回情報論的学習理論ワークショップ (IBIS 2019)
- Data Source
  KAKENHI-PROJECT-18K18107
[Presentation] Robust contrastive learning and nonlinear ICA in the presence of outliers2019
- Author(s)
  佐々木博昭，竹之内高志，Ricardo Monti，Aapo Hyvarinen
- Organizer
  第22回情報論的学習理論ワークショップ (IBIS 2019)
- Data Source
  KAKENHI-PROJECT-18K18107
[Presentation] Hunting Geometric Features in the Probability Density Function with Direct Density-Derivative-Ratio Estimation2018
- Author(s)
  Hiroaki Sasaki
- Organizer
  the 11th International Conference of the ERCIM WG on Computational and Methodological Statistics (Organized session: “Mean shift and localization techniques”)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18107
[Presentation] Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios2017
- Author(s)
  Hiroaki Sasaki
- Organizer
  The 20th International Conference on Artificial Intelligence and Statistics (AISTATS)
- Place of Presentation
  Florida, USA
- Year and Date
  2017-04-20
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H06103
[Presentation] Non-Gaussian Component Analysis with Log-Density Gradient Estimation2016
- Author(s)
  Hiroaki Sasaki
- Organizer
  the 19th International Conference on Artificial Intelligence and Statistics (AISTATS 2016)
- Place of Presentation
  Cadiz, Spain
- Year and Date
  2016-05-09
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H06103
[Presentation] Modal Regression via Direct Log-Density Derivative Estimation2016
- Author(s)
  Hiroaki Sasaki
- Organizer
  The 23th International Conference on Neural Information Processing (ICONIP)
- Place of Presentation
  Kyoto, Japan
- Year and Date
  2016-10-16
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H06103
[Presentation] Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities2015
- Author(s)
  Hiroaki Sasaki
- Organizer
  the 7th Asian Conference on Machine learning (ACML 2015)
- Place of Presentation
  Hong Kong, China
- Year and Date
  2015-11-20
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15H06103
[Presentation] Non-Gaussian Component Analysis with Log-Density-Gradient Estimation2015
- Author(s)
  佐々木　博昭
- Organizer
  第18回情報論的学習理論ワークショップ (IBIS 2015)
- Place of Presentation
  つくば国際会議場（茨城県つくば市）
- Year and Date
  2015-11-25
- Data Source
  KAKENHI-PROJECT-15H06103
[Presentation] Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities2015
- Author(s)
  佐々木　博昭
- Organizer
  第18回情報論的学習理論ワークショップ (IBIS 2015)
- Place of Presentation
  つくば国際会議場（茨城県つくば市）
- Year and Date
  2015-11-25
- Data Source
  KAKENHI-PROJECT-15H06103

1. 金森敬文 (60334546)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 本武陽一 (80848672)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. TAKENOUCHI Takashi

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

SASAKI HIROAKI 佐々木 博昭

Sasaki Hiroaki 佐々木 博昭

Research Projects

Research Products

Co-Researchers

幾何学的データ解析手法の開発と位相的データ解析への展開Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Theory and methods for nonlinear feature extractionPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Density Derivative Estimation and its ApplicationsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Outlier-robust parameter estimation for unnormalized statistical models2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Robust modal regression with direct log-density derivative estimation2020

Author(s)

Journal Title

Data Source

[Journal Article] Robust contrastive learning and nonlinear ICA in the presence of outliers2020

Author(s)

Journal Title

Data Source

[Journal Article] Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning2019

Author(s)

Journal Title

Data Source

[Journal Article] Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction2017

Author(s)

Journal Title

Data Source

[Journal Article] Direct Density Derivative Estimation2016

Author(s)

Journal Title

Data Source

[Journal Article] Regularized Multi-task Learning for Multi-Dimensional Log-Density Gradient Estimation2016

Author(s)

Journal Title

NAID

Data Source

[Journal Article] 確率密度微分の直接推定と機械学習への応用2016

Author(s)

Journal Title

Data Source

[Presentation] Robust modal regression with direct gradient approximation of modal regression risk2020

Author(s)

Organizer

Data Source

[Presentation] Robust contrastive learning and nonlinear ICA in the presence of outliers2020

Author(s)

Organizer

Data Source

[Presentation] Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning2019

Author(s)

Organizer

Data Source

[Presentation] Robust modal regression with direct log-density derivative estimation2019

Author(s)

Organizer

Data Source

[Presentation] Robust contrastive learning and nonlinear ICA in the presence of outliers2019

Author(s)

Organizer

Data Source

[Presentation] Hunting Geometric Features in the Probability Density Function with Direct Density-Derivative-Ratio Estimation2018

Author(s)

Organizer

SASAKI HIROAKI 佐々木博昭

Sasaki Hiroaki 佐々木博昭