Journal of Machine Learning Research
Journal of Machine Learning Research
Publishing leading research in machine learning theory, optimization, and applications across high-dimensional learning problems.
Aims & Scope
The Journal of Machine Learning Research publishes high-quality scholarly articles in all areas of machine learning, including learning theory, optimization, probabilistic methods, reinforcement learning, and applications to high-dimensional learning problems. All articles are freely available and the journal charges no submission or publication fees.
Editorial Board
Prof. Francis Bach, INRIA
- Prof. David Blei, Columbia University
- Prof. Samy Bengio, Apple
- Dr. Cheng Zhang, Microsoft Research
- Prof. Sara van de Geer, ETH Zürich
Abstracting & Indexing
ScopusWeb of Science (SCIE)DOAJDBLP
Open Access
- Full (Diamond) Open Access
- CC BY 4.0
- No charge (no APC)
Journal Information
- Computer Science
- JMLR Inc.
- Journal of Machine Learning Research
- 2000
- Continuous publication (articles published as accepted)
- Single-blind peer review
- 1533-7928
- 10.5555
- 6.0
- 6.4
- 12.5
- Q1