The 29th International Conference on Artificial Intelligence and Statistics

The 29th International Conference on Artificial Intelligence and Statistics (AISTATS 2026) is one of the most respected venues at the intersection of machine learning and statistics, dedicated to research that bridges rigorous statistical theory and practical AI methodology. Now in its 29th year, AISTATS has a distinguished record of publishing work that defines the theoretical foundations of modern machine learning.

Topics include probabilistic modeling, Bayesian inference, causal discovery, statistical learning theory, optimization for ML, uncertainty quantification, graphical models, and applications to scientific data analysis. Statisticians, machine learning theorists, and applied researchers who value mathematical depth alongside algorithmic innovation will find AISTATS an intellectually demanding and rewarding conference. Graduate students and postdoctoral researchers working on statistically grounded ML methods will benefit from the conference's culture of constructive and expert peer engagement.