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All CFPs on WikiCFP | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Present CFP : 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to learning and reasoning in the presence of uncertainty. The conference has been held every year since 1985. The upcoming 40th edition (UAI 2024) will be an in-person conference with virtual elements taking place in Barcelona, Spain from July 15th to July 19th 2024.
We invite papers that describe novel theory, methodology and applications related to artificial intelligence, machine learning and statistics. Papers will be assessed in a rigorous double-blind peer-review process, based on the criteria of technical correctness, novelty, whether claims are backed up convincingly, and clarity of writing. Authors are strongly encouraged to make code and data available. All accepted papers will be presented in poster sessions and spotlight presentations (physically or remotely). Selected papers will have longer presentations. All accepted papers will be published in a volume of Proceedings of Machine Learning Research (PMLR). Deadlines and other relevant dates can be found under important dates. Important dates for authors: January 8th, 2024: Paper submission starts February 9th, 2024 (23:59 Anywhere on Earth): Paper submission deadline April 1st-8th, 2024: Author response and discussion period April 25th, 2024: Author notification Papers should be submitted on OpenReview at https://openreview.net/group?id=auai.org/UAI/2024/Conference. Please see Submission Instructions for more details on how your manuscript should be formatted. We are looking forward to building an exciting program and we aim to make the most of the advantages that a hybrid conference can create. If you have any particular positive or negative experiences that you would like to share with us, please do not hesitate to email us. Relevant dates: July 15th, 2024: Tutorials July 16th-18th, 2024: Main conference July 19th, 2024: Workshops Below is a non-exhaustive list of relevant topics. 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 Recommender Systems Reinforcement Learning Relational Learning Representation Learning Semi-Supervised Learning Structure Learning Structured Prediction Unsupervised Learning Models Bandits (Dynamic) Bayesian Networks Generative Models Graphical Models - Directed Graphical Models - Undirected Graphical Models - Mixed Markov Decision Processes Models for Relational Data Neural Networks Probabilistic Circuits Regression Models Spatial and Spatio-Temporal Models Temporal and Sequential Models Topic Models and Latent Variable Models Principles Explainability Causality Computational and Statistical Trade-Offs 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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