Metel MichaelRos メテルマイケルロス

Researcher Number	40839081
Affiliation (based on the past Project Information) *help	2023: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員 2019 – 2020: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員
Review Section/Research Field	Except Principal Investigator Basic Section 60020:Mathematical informatics-related
Keywords	Except Principal Investigator 低ランクスパース最適化 / 確率的DCアルゴリズム / ペナルティ法 / ホモトピー法 / ２段階最適化問題 / ランダム行列理論 / 錐最適化問題 / 確率最適化 / 大域収束性 / 最悪反復計算量 / DC最適化 / 機械学習 / 非凸非平滑最適化

Developing efficient algorithms for nonconvex non smooth optimization and its application to machine learning
- Principal Investigator
  
  Takeda Akiko
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60020:Mathematical informatics-related
- Research Institution
  The University of Tokyo

All 2021 2019

All Journal Article

[Journal Article] Primal-dual subgradient method for constrained convex optimization problems2021
- Author(s)
  Michael R. Metel, Akiko Takeda
- Journal Title
  
  Optimization Letters
  
  Volume: 15 Issue: 4 Pages: 1491-1504
- DOI
  10.1007/s11590-021-01728-x
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H01699, KAKENHI-PROJECT-19H04069
[Journal Article] Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization2021
- Author(s)
  Metel Michael R.、Takeda Akiko
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 22(115) Pages: 1-36
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19H04069
[Journal Article] Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization2019
- Author(s)
  Michael Metel, Akiko Takeda
- Journal Title
  
  Proceedings of the 36th International Conference on Machine Learning
  
  Volume: 97 Pages: 4537-4545
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19H04069

1. Takeda Akiko (80361799)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
2. ロウレンソブルノ・フィゲラ (80778720)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. Liu Tianxiang (90835216)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Metel MichaelRos メテルマイケルロス

Research Projects

Research Products

Co-Researchers

Developing efficient algorithms for nonconvex non smooth optimization and its application to machine learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Primal-dual subgradient method for constrained convex optimization problems2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization2021

Author(s)

Journal Title

Data Source

[Journal Article] Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization2019

Author(s)

Journal Title

Data Source

Metel MichaelRos メテル マイケルロス

Research Projects

Research Products

Co-Researchers

Developing efficient algorithms for nonconvex non smooth optimization and its application to machine learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Primal-dual subgradient method for constrained convex optimization problems2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization2021

Author(s)

Journal Title

Data Source

[Journal Article] Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization2019

Author(s)

Journal Title

Data Source

Metel MichaelRos メテルマイケルロス