The 41st Conference on Uncertainty in Artificial Intelligence

The 41st Conference on Uncertainty in Artificial Intelligence (UAI 2025) is the premier venue for research on principled reasoning and decision-making under uncertainty, combining probabilistic modeling, Bayesian statistics, causal inference, and decision theory. Topics include graphical models, approximate inference, reinforcement learning from a probabilistic perspective, causal discovery, robust decision-making, and the theoretical foundations of uncertainty quantification in AI systems.

UAI attracts AI researchers, statisticians, and decision scientists who believe that handling uncertainty rigorously is not optional but essential for building reliable intelligent systems. The conference has a distinctive character: it is simultaneously theoretical and practical, welcoming both mathematically deep contributions to probabilistic modeling and empirical demonstrations of uncertainty-aware systems in consequential domains such as healthcare, climate modeling, and autonomous systems.