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Peer-reviewed research papers presented in poster sessions and published in the proceedings, covering original contributions in uncertainty in AI.
Conference on Uncertainty in Artificial Intelligence
The Conference on Uncertainty in Artificial Intelligence (UAI) is a premier international forum for research on knowledge representation, learning, and reasoning under uncertainty, held annually since 1985. The 42nd edition, UAI 2026, took place in Amsterdam, Netherlands, featuring peer-reviewed papers, tutorials, and workshops focused on advancing probabilistic modeling, causal inference, interpretability, and robust decision-making in AI.

Full paper
February 26, 2026
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February 26, 2026 · AoE
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A strong submission should clearly identify its contribution and evaluate it appropriately.
Peer-reviewed research papers presented in poster sessions and published in the proceedings, covering original contributions in uncertainty in AI.
Long (3-hour) and short (1.5-hour) educational sessions on advanced topics, including e-values, chain-of-thought reasoning, probabilistic concept bottleneck models, tensor networks, and causal spaces.
Specialized half-day or full-day events focused on emerging themes such as causality for decision making, tractable probabilistic modeling, and safe AI.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026