会议信息

AISTATS 2026: International Conference on Artificial Intelligence and Statistics

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AISTATS
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截稿日期:
2025-09-25
通知日期:
2025-01-21
会议日期:
2026-05-02
会议地点:
Tangier, Morocco
届数:
29
CCF: C   ICORE: A   浏览: 130651   关注: 195   参加: 43

会伴指数 (CP-I)

82.0 / 100
全站第 167 名 / 共 5,658 个会议 · 前 3%

数学与自然科学 第 1 / 69 人工智能与机器学习 第 17 / 737

学术认可 (35%)
88
投稿选择性 (20%)
79
会议传承 (20%)
92
社区关注 (10%)
73
资料公开度 (15%)
65

用到的输入: 收录等级：CCF C, ICORE A · 录用率：29.5%（有记录的 5 届的均值） · 有据可查的届次：29 · 在会伴关注它的研究者：195 人 · 过去 24 个月打开过本页的研究者：19 人

公开资料里还缺: 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-10

征稿

AISTATS 2026 (International Conference on Artificial Intelligence and Statistics) is a CCF C / ICORE A conference held in Tangier, Morocco on 2026-05-02. The paper submission deadline is 2025-09-25. Acceptance notifications are sent on 2025-01-21.

We invite submissions to the 29th International Conference on Artificial Intelligence and Statistics (AISTATS 2026) and welcome paper submissions at the intersection of artificial intelligence, machine learning, statistics, and related areas. Accepted papers will be presented at the conference to be held in person in Morocco on May 2–5, 2026. At least one author of each accepted paper should register and present the work at the conference. Exceptions may be granted in case of travel emergencies or visa issues. AISTATS is an interdisciplinary gathering of researchers from 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. This year, there will be a separate journal track for papers that have been recently published at select top journals to present those works at AISTATS as a poster; the details of this track will be posted separately. Papers will be selected for publication via a rigorous double-blind peer-review process. Acceptance rates tend to be around 25%. All accepted papers will be presented at the Conference as posters, with a subset being presented as talks, and will be published in the AISTATS Conference Proceedings, as part of the Journal of Machine Learning Research Workshop and Conference Proceedings series, by the publisher Proceedings of Machine Learning Research (PMLR). Papers for talks and posters are treated equally in publication. 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, online learning and bandits, game theory, frequentist statistics, information theory, …) Deep learning (theory, architectures, generative models, optimization for neural networks, …) Reinforcement learning (theory of RL, offline/online RL, deep RL, multi-agent RL, …) 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, …)
由 Dou Sun 最后更新于

录用率

平均录用率: 30.9% 11 年间 (2014–2025).

年份提交数录用数录用率(%)
2025186158331.3%
2024198054627.6%
2023168649629.4%
2022168549329.3%
2021152745529.8%
2019111136032.4%
201864521433.2%
201753016831.7%
201653716530.7%
201544212728.7%
201433512035.8%

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Spatial Statistics2.5Elsevier2211-6753
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662

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