ICML 2020 : 37th International Conference on Machine Learning

The 37th International Conference on Machine Learning (ICML 2020) will be held in Vienna, Austria from 12 July to 18 July, 2020. The conference will consist of one Expo day (12 July), one day of tutorials (13 July), followed by three days of main conference sessions (14-16 July), followed by two days of workshops (17-18 July). We invite submissions of papers on all topics related to machine learning for the main conference proceedings. All papers will be reviewed in a double-blind process and accepted papers will be presented at the conference.

Deadlines: This year, ICML will continue with a single review cycle, with an abstract submission deadline of Jan 30, 2020 AOE or 00 weeks 04 days 03:45:48  and a full paper submission deadline of Feb 06, 2020 AOE or 01 weeks 04 days 03:45:48 ; all paper submission deadlines are "Anywhere On Earth."

Submissions will open 7 Jan, 2020 and can be submitted through CMT:

  https://cmt3.research.microsoft.com/ICML2020/

Topics of interest include (but are not limited to):

1. General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, semi-supervised learning, time series analysis, unsupervised learning, etc.)

2. Deep Learning (architectures, generative models, deep reinforcement learning, etc.)

3. Learning Theory (bandits, game theory, statistical learning theory, etc.)

4. Optimization (convex and non-convex optimization, matrix/tensor methods, sparsity, etc.)

5. Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods, etc.)

6. Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.)

7. Applications (computational biology, crowdsourcing, healthcare, neuroscience, social good, climate science, etc.)

We encourage the submission of papers that develop machine learning techniques to address socially relevant problems, ethical AI and AI safety.

Papers published at ICML are indexed in the Proceedings of Machine Learning Research through the Journal of Machine Learning Research. Paper acceptance decisions are made without concern for funding, and authors of accepted papers receive priority for travel awards as needed. We have given eight weeks between notifications of paper acceptance and the conference to allow for visa processing, and will work to award travel funding for those who need visas as quickly as possible.

Author and Style Instructions: View author instructions, including policies around dual submission, anonymization, and style files here. Submitted papers that do not conform to these policies may be rejected without review.

Review Form: You can view the ICML 2020 review form for reference.

Email: [email protected]

Program Chairs:
Hal Daumé III (University of Maryland, Microsoft Research)
Aarti Singh (Carnegie Mellon University)

General Chair:
David Blei (Columbia University)