Conference Information
AISTATS 2023: International Conference on Artificial Intelligence and Statistics
https://aistats.org/aistats2023/
Submission Date:
2022-10-06
Notification Date:
2023-01-19
Conference Date:
2023-03-30
Location:
Online
Years:
26
CCF: c   CORE: a   Viewed: 49055   Tracked: 164   Attend: 34

Call For Papers
We invite submissions to the 26th International Conference on Artificial Intelligence and Statistics (AISTATS), and welcome paper submissions on artificial intelligence, machine learning, statistics, and related areas.

AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them. The conference is committed to diversity in all its forms, and encourages submissions from authors of underrepresented groups and geographies in ML/AI.

Paper Submission (Proceedings Track)

The proceedings track is the standard AISTATS paper submission track. Papers will be selected via a rigorous double-blind peer-review process. All accepted papers will be presented at the Conference as contributed talks or as posters and will be published in the Proceedings.

Solicited topics include, but are not limited to:

    Machine learning methods and algorithms (classification, regression, unsupervised and semi-supervised learning, clustering, logic programming, …)
    Probabilistic methods (Bayesian methods, approximate inference, density estimation, tractable probabilistic models, probabilistic programming, …)
    Theory of machine learning and statistics (optimization, computational learning theory, decision theory and bandits, game theory, frequentist statistics, information theory, …)
    Deep learning (theory, architectures, reinforcement learning, generative models, optimization for neural networks, …)
    Ethical and trustworthy machine learning (causality, fairness, interpretability, privacy, robustness, safety, …)
    Applications of machine learning and statistics (including natural language, signal processing, computer vision, physical sciences, social sciences, sustainability and climate, healthcare, …)
Last updated by Dou Sun in 2022-09-25
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Related Journals
CCFFull NameImpact FactorPublisherISSN
aArtificial Intelligence9.088Elsevier0004-3702
International Journal of Artificial Intelligence & Applications AIRCC0976-2191
International Journal of Intelligent Engineering and SystemsIntelligent Networks and Systems Society2185-310X
cArtificial Intelligence in Medicine5.326Elsevier0933-3657
bJournal of Artificial Intelligence ResearchAI Access Foundation, Inc.1076-9757
Artificial Intelligence Review1.213Springer0269-2821
International Journal of Artificial Intelligence & Machine Learning AR Publication0000-0000
Applied Artificial Intelligence Taylor & Francis0883-9514
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