AISTATS 2027

Deadlines
AI/CORE A

AISTATS 2027

International Conference on Artificial Intelligence and Statistics

May 3, 2027Montréal, CanadaOfficial conference site Site reachable

AISTATS 2027 is the 30th Annual Conference on Artificial Intelligence and Statistics, bringing together researchers from computer science, artificial intelligence, machine learning, and statistics to promote interdisciplinary exchange. The conference will be held in Montreal, Canada, from May 3–6, 2027, and features a rigorous double-blind peer-review process with new policies on AI use, submission quotas, and AI-generated reviews.

Official CFP Submission site Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Abstract registration

September 30, 2026

AoE

Full paper

October 7, 2026

AoE

Conference timeline

Submission and decisions

Abstract registrationKey deadline

September 30, 2026 · AoE

Full paperKey deadline

October 7, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Full Paper (Proceedings Track)

Papers submitted for peer review and potential publication in the AISTATS Conference Proceedings. Must be anonymized, adhere to page limits, and include an AI Use Statement. Accepted papers are presented as posters or talks.

Research areas in scope

01

Solicited Topics

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, …)

Policies worth checking twice

  • Submissions must be double-blind; author names, affiliations, and identifying acknowledgments are prohibited.
  • Authors must submit an AI Use Statement after references, disclosing all use of generative AI tools; missing statements lead to desk rejection.
  • No author may appear on more than 12 submissions; authors without an accepted paper at ICLR, ICML, NeurIPS, or AISTATS are limited to 3 submissions.
  • Authorship is frozen at the abstract submission deadline; no additions or removals allowed after that point.
  • Each submission must nominate one author as a reciprocal reviewer with appropriate expertise; failure to nominate or fulfill reviewer duties may lead to desk rejection.
  • AI-generated reviews are mandatory for all submissions and focus solely on factual correctness; they are not visible to human reviewers during initial review.
  • Reviewers are strictly prohibited from using LLMs to generate or delegate reviews; violations may result in sanctions.
  • Submissions must not be under consideration elsewhere during the review period; dual submissions are not allowed.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Official conference siteCall For Papers    Submission FAQ

Last verified September 9, 2026