AISTATS 2027 deadline
International Conference on Artificial Intelligence and Statistics
May 3-6, 2027 · Montréal, Canada
All deadlines for this edition have passed.
Key dates
Abstract / registration
Tue, Sep 29, 2026 · 23:59 AoE
Full paper
Tue, Oct 6, 2026 · 23:59 AoE
Author response ends
Sun, Nov 22, 2026 · 23:59 AoE
Decisions
Wed, Jan 20, 2027 · 23:59 AoE
Conference
May 3-6, 2027 · Montréal, Canada
What AISTATS reviewers will look for
AISTATS 2026 reviewers summarize the paper, then choose Soundness, Significance and Novelty options each with a written justification (incremental or known-results verdicts must cite the prior work), note non-conventional contributions, assess clarity, relation to prior work and reproducibility, and give a 1–7 rating and 1–5 confidence. Reviewers should be thoughtful, fair, specific and timely, avoid dismissive criticism of novel or cross-disciplinary work, and respond to every rebuttal.
- Overall score
- Rating, 1–7 (top: “Strong Accept (Technically excellent paper with clear novelty and broad potential impact beyond a single sub-area of AI and stats. The work is very well executed with convincing evaluation and good attention to reproducibility and ethical considerations.)”)
- Written fields
- Summary And Contributions · Soundness · Significance · Novelty · Justification Of Soundness, Significance And Novelty · Non-conventional Contributions · Clarity · Relation To Prior Work · Additional Comments · Reproducibility · Ethical Concerns
- Author checklist
- AISTATS reproducibility checklist (in the paper, after the references), 5 items
Where the bar sits. The AISTATS 2026 call says acceptance tends to be around 25% (2025: 31%, 2024: 28%). No score statistics are public; on the 1–7 scale a mean of 5 (Borderline Accept) or more is a rough proxy for acceptance, 4–5 borderline.
LLM policy for reviewers
AISTATS 2026 strictly prohibits generative AI, including LLMs, in reviewing: reviewers may not use it to write reviews or put any submission or review content into it.
Official policy