HOLLAND Matthew James ＨＯＬＬＡＮＤＭａｔｔｈｅｗ・Ｊａｍｅｓ

… Alternative Names

Holland Matthew J. HOLLAND Matthew・James

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Researcher Number	00810227
Other IDs	https://orcid.org/0000-0002-6704-1769
Affiliation (Current)	2025: 関西大学, ビジネスデータサイエンス学部, 准教授
Affiliation (based on the past Project Information) *help	2019 – 2024: 大阪大学, 産業科学研究所, 助教 2018: 大阪大学, データビリティフロンティア機構, 特任助教(常勤)
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related / 1002:Human informatics, applied informatics and related fields
Keywords	Principal Investigator 確率的最適化 / 機械学習 / 統計的学習理論

Research Projects
(3 results)
Research Products
(15 results)

Novel learning algorithms through off-sample generalization metric designPrincipal Investigator
- Principal Investigator
  
  HOLLAND Matthew・James
- Project Period (FY)
  2024 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Osaka University
Robust and efficient learning algorithms through control of margin distributionsPrincipal Investigator
- Principal Investigator
  
  Holland Matthew J.
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Osaka University
Robust and efficient learning algorithms through control of margin distributionsPrincipal Investigator
- Principal Investigator
  
  HOLLAND Matthew・James
- Project Period (FY)
  2018 – 2019
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  1002:Human informatics, applied informatics and related fields
- Research Institution
  Osaka University

All 2024 2023 2022 2021 2019

All Journal Article Presentation

[Journal Article] Accounting for directional outliers in robust gradient descent2024
- Author(s)
  中谷光佑、ホーランドマシュー
- Journal Title
  
  Proceedings of the Annual Conference of JSAI
  
  Volume: JSAI2024 Issue: 0 Pages: 2D5GS203-2D5GS203
- DOI
  10.11517/pjsai.JSAI2024.0_2D5GS203
- ISSN
  2758-7347
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K24902
[Journal Article] Proposed learning method assuming distribution shift due to corrupted data2024
- Author(s)
  濱田東昌、ホーランドマシュー
- Journal Title
  
  Proceedings of the Annual Conference of JSAI
  
  Volume: JSAI2024 Issue: 0 Pages: 2D4GS201-2D4GS201
- DOI
  10.11517/pjsai.JSAI2024.0_2D4GS201
- ISSN
  2758-7347
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K24902
[Journal Article] Robust variance-regularized risk minimization with concomitant scaling2023
- Author(s)
  Matthew J. Holland
- Journal Title
  
  arXiv preprint
  
  Volume: 1 Pages: 1-27
- Open Access
- Data Source
  KAKENHI-PROJECT-23K24902
[Journal Article] Anytime Guarantees Under Heavy-Tailed Data2022
- Author(s)
  Matthew J. Holland
- Journal Title
  
  Proceedings of the AAAI Conference on Artificial Intelligence
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20342
[Journal Article] Spectral risk-based learning using unbounded losses2022
- Author(s)
  Matthew J. Holland, El Mehdi Haress
- Journal Title
  
  Proceedings of Machine Learning Research
  
  Volume: -
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20342
[Presentation] Robust variance-regularized risk minimization with concomitant scaling2024
- Author(s)
  Matthew J. Holland
- Organizer
  AISTATS 2024
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K24902
[Presentation] 損失の期待値と分散をロバストに最小化する学習法2023
- Author(s)
  Matthew J. Holland
- Organizer
  人工知能学会全国大会 (第37回)
- Data Source
  KAKENHI-PROJECT-23K24902
[Presentation] Anytime Guarantees Under Heavy-Tailed Data2022
- Author(s)
  Matthew J. Holland
- Organizer
  AAAI 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20342
[Presentation] Spectral risk-based learning using unbounded losses2022
- Author(s)
  Matthew J. Holland, El Mehdi Haress
- Organizer
  AISTATS 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20342
[Presentation] Robustness and scalability under heavy tails, without strong convexity2021
- Author(s)
  Matthew J. Holland
- Organizer
  AISTATS 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20342
[Presentation] Learning with risk-averse feedback under potentially heavy tails2021
- Author(s)
  Matthew J. Holland
- Organizer
  AISTATS 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20342
[Presentation] Scaling-Up Robust Gradient Descent Techniques2021
- Author(s)
  Matthew J. Holland
- Organizer
  AAAI 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20342
[Presentation] Classification using margin pursuit2019
- Author(s)
  Matthew J. Holland
- Organizer
  AISTATS 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18H06477
[Presentation] Classification using margin pursuit2019
- Author(s)
  Matthew J. Holland
- Organizer
  AISTATS 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20342
[Presentation] PAC-Bayes under potentially heavy tails2019
- Author(s)
  Matthew J. Holland
- Organizer
  NeurIPS 2019
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K20342

HOLLAND Matthew James ＨＯＬＬＡＮＤ Ｍａｔｔｈｅｗ・Ｊａｍｅｓ

Holland Matthew J. HOLLAND Matthew・James

Research Projects

Research Products

Novel learning algorithms through off-sample generalization metric designPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Robust and efficient learning algorithms through control of margin distributionsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Robust and efficient learning algorithms through control of margin distributionsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Accounting for directional outliers in robust gradient descent2024

Author(s)

Journal Title

DOI

ISSN

Language

Data Source

[Journal Article] Proposed learning method assuming distribution shift due to corrupted data2024

Author(s)

Journal Title

DOI

ISSN

Language

Data Source

[Journal Article] Robust variance-regularized risk minimization with concomitant scaling2023

Author(s)

Journal Title

Data Source

[Journal Article] Anytime Guarantees Under Heavy-Tailed Data2022

Author(s)

Journal Title

Data Source

[Journal Article] Spectral risk-based learning using unbounded losses2022

Author(s)

Journal Title

Data Source

[Presentation] Robust variance-regularized risk minimization with concomitant scaling2024

Author(s)

Organizer

Data Source

[Presentation] 損失の期待値と分散をロバストに最小化する学習法2023

Author(s)

Organizer

Data Source

[Presentation] Anytime Guarantees Under Heavy-Tailed Data2022

Author(s)

Organizer

Data Source

[Presentation] Spectral risk-based learning using unbounded losses2022

Author(s)

Organizer

Data Source

[Presentation] Robustness and scalability under heavy tails, without strong convexity2021

Author(s)

Organizer

Data Source

[Presentation] Learning with risk-averse feedback under potentially heavy tails2021

Author(s)

Organizer

Data Source

[Presentation] Scaling-Up Robust Gradient Descent Techniques2021

Author(s)

Organizer

Data Source

[Presentation] Classification using margin pursuit2019

Author(s)

Organizer

Data Source

HOLLAND Matthew James ＨＯＬＬＡＮＤＭａｔｔｈｅｗ・Ｊａｍｅｓ