# UAI — Conference on Uncertainty in Artificial Intelligence

- **Submission deadline**: 2026-02-25
- **Notification date**: 2026-06-01
- **Conference date**: 2026-08-17
- **Location**: Amsterdam, the Netherlands
- **Rankings**: CCF B · CORE A · QUALIS A1
- **Conference Partner Index**: 89.8/100 (ranked #62, confidence 1.00, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 159
- **Attendees**: 17
- **Canonical page**: https://www.myhuiban.com/conference/416

## Acceptance history

| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| 2025 | 750 | 230 | 30.7% |
| 2024 | 744 | 200 | 26.9% |
| 2023 | 778 | 243 | 31.2% |
| 2022 | 712 | 230 | 32.3% |
| 2021 | 777 | 205 | 26.4% |
| 2020 | 515 | 142 | 27.6% |
| 2019 | 450 | 118 | 26.2% |
| 2018 | 337 | 104 | 30.9% |
| 2017 | 282 | 87 | 30.9% |
| 2016 | 275 | 85 | 30.9% |

## Call for papers

Subject Areas Below you find a non-exhaustive list of relevant topics for your reference. Algorithms Approximate Inference Bayesian Methods Belief Propagation Exact Inference Kernel Methods Missing Data Handling Monte Carlo Methods Optimization - Combinatorial Optimization - Convex Optimization - Discrete Optimization - Non-Convex Probabilistic Programming Randomized Algorithms Spectral Methods Variational Methods Applications Cognitive Science Computational Biology Computer Vision Crowdsourcing Earth System Science Education Forensic Science Healthcare Natural Language Processing Neuroscience Planning and Control Privacy and Security Robotics Social Good Sustainability and Climate Science Text and Web Data Learning Active Learning Adversarial Learning Causal Learning Classification Clustering Compressed Sensing and Dictionary Learning Deep Learning Density Estimation Dimensionality Reduction Ensemble Learning Feature Selection Hashing and Encoding Multitask and Transfer Learning Online and Anytime Learning Policy Optimization and Policy Learning Ranking Reinforcement Learning and Bandits Relational Learning Representation Learning Semi-Supervised Learning Structure Learning Structured Prediction Unsupervised Learning Models Foundation Models Generative Models Graphical Models Models for Relational Data Neural Networks Probabilistic Circuits Regression Models Spatial, Temporal and Spatio-Temporal Models Topic Models and Latent Variable Models Principles Causality Computational and Statistical Trade-Offs Explainability Fairness Privacy Reliability Robustness (Structured) Sparsity Representation Constraints Dempster-Shafer (Description) Logics Imprecise Probabilities Influence Diagrams Knowledge Representation Languages Theory Computational Complexity Control Theory Decision Theory Game Theory Information Theory Learning Theory Probability Theory Statistical Theory

## Related conferences

- Artificial Intelligence — International Conference on Automation and Artificial Intelligence — https://www.myhuiban.com/conference/3369
- ICRA — International Conference on Robotics and Automation — https://www.myhuiban.com/conference/421
- IJCAI — International Joint Conference on Artificial Intelligence — https://www.myhuiban.com/conference/405
- ICASSP — International Conference on Acoustics, Speech and Signal Processing — https://www.myhuiban.com/conference/429
- PODS — ACM SIGMOD Conference on Principles of DB Systems — https://www.myhuiban.com/conference/138

## Related journals

- Software & Systems Modeling — https://www.myhuiban.com/journal/99
- Pattern Recognition — https://www.myhuiban.com/journal/198
- IEEE Transactions on Neural Networks and Learning Systems — https://www.myhuiban.com/journal/188
- Information Sciences — https://www.myhuiban.com/journal/115
- Computer Networks — https://www.myhuiban.com/journal/26

---
Source: Conference Partner — https://www.myhuiban.com/conference/416 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)