AISTATS (the International Conference on Artificial Intelligence and Statistics) is one of the long-standing, respected machine learning conferences, focused on the link between AI, machine learning and statistics. The 2027 edition is the 30th, and according to the official site it runs from 3 to 6 May 2027 in Montréal, Canada, itself one of the world's hubs of deep learning research.
What is this event about?#
AISTATS papers are mostly methodological and theoretical:
- Statistical learning and learning theory.
- Bayesian inference, probabilistic models and uncertainty quantification.
- Optimization and sampling methods.
- Causal inference, bandits and reinforcement learning.
- Generative models from a statistical perspective.
According to the official site, the program includes a dedicated workshop day in addition to the main conference, and accepted papers are published in PMLR.
Who is it useful for?#
- PhD students and researchers in machine learning and statistics.
- Statisticians who want to move into AI.
- Data scientists interested in the theoretical foundations of methods.
How do you get the most out of it?#
- AISTATS is smaller than giants like NeurIPS, which makes deeper conversations with authors easier.
- Plan the workshop day for more specialised topics.
- Papers are published openly in PMLR and can be read without attending. The official site names the virtual conference website as the primary source of up-to-date information.
A note for Iranian readers#
Canadian visa rules, sanctions and international payments differ for each person and the visa process can be long; ask the official site and consular authorities and start early.
