Holland Matthew J.

ホーランドマシュー | Holland Matthew J.

Affiliation and department：
Job title： Assistant Professor

Research keywords (2)： Statistical learning theory , Machine learning

Research theme for competitive and other funds (9)：

2022 - 2026 Novel learning algorithms through off-sample generalization metric design
2021 - 2025 Machine learning with guarantees under diverse risk measures
2022 - 2022 Designing new learning algorithms via novel feedback generation mechanisms
2020 - 2022 Learning with guarantees under more diverse notions of risk
2019 - 2022 Robust and efficient learning algorithms through control of margin distributions

Show all

Papers (24)：

Matthew J. Holland, Kosuke Nakatani. Soft ascent-descent as a stable and flexible alternative to flooding. NeurIPS 2024, to appear. 2024
Matthew J. Holland, Toma Hamada. Making Robust Generalizers Less Rigid with Soft Ascent-Descent. arXiv preprint. 2024
Matthew J. Holland. Criterion Collapse and Loss Distribution Control. Proceedings of Machine Learning Research (ICML 2024). 2024. 235. 18547-18567
Matthew J. Holland. Robust variance-regularized risk minimization with concomitant scaling. Proceedings of Machine Learning Research (AISTATS 2024). 2024. 238. 1144-1152
Matthew J. Holland, Kazuki Tanabe. A Survey of Learning Criteria Going Beyond the Usual Risk. Journal of Artificial Intelligence Research. 2023. 78. 781-821

ｍore...

MISC (2)：

Matthew J. Holland. 5分で分かる!? 有名論文ナナメ読み:Duchi, J. et al. : Adaptive Subgradient Methods for Online Learning and Stochastic Optimization. IPSJ Magazine. 2019. 60. 8. 780-781
Matthew J. Holland. Robust gradient descent via back-propagation: A Chainer-based tutorial. 2019

Works (14)：

addro: learning with concentrated OCE
Matthew J. Holland 2024 -
collapse: a study of criterion collapse in machine learning
Matthew J. Holland 2024 -
bdd-flood: links between bi-directional dispersion and flooding
Matthew J. Holland 2023 -
bdd-mv: mean-variance minimization using bi-directional dispersion functions
Matthew J. Holland 2023 -
offgen: a visual "explainer" for off-sample generalization metrics
Matthew J. Holland 2022 -

ｍore...

Professional career (1)：

Awards (8)：

2024/08 - Transactions on Machine Learning Research (TMLR) Expert Reviewer Recognition (2024)
2023/07 - Transactions on Machine Learning Research (TMLR) Expert Reviewer Recognition (2023)
2022/07 - Japanese Neural Network Society Distinguished Presentation Award (NEURO2022)
2021/09 - Japanese Neural Network Society Young Researcher Award (JNNS2021)
2019/11 - IEICE, Information-Based Induction Sciences and Machine Learning (IBISML) Technical Committee Award finalist (IBIS 2019)

Show all

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page