UAI 2018 - Subject Areas
When an author submits a paper, they will be asked to select one primary subject area, and up to 5 secondary subject areas from the sets of terms below. The terms have been grouped to provide a somewhat systematic overview of topics relevant to the UAI conference. For example, a paper about a new approximate inference algorithm for dynamic Bayesian network with applications to a problem in biology could select the combination primary = dynamic Bayesian network, secondary = [application/biology, algorithms/approximate inference] and so on.
For reference, below is the list of subject areas that will appear to authors and reviewers in the CMT conference management system:
Algorithms
- Approximate Inference
- Belief Propagation
- Distributed and Parallel
- Exact Inference
- Graph Theory
- Heuristics
- MCMC methods
- Optimization
- Software and Tools
Application
- Biology
- Databases
- Decision Support
- Diagnosis and Reliability
- Economics
- Education
- General
- Medicine
- Planning and Control
- Privacy and Security
- Robotics
- Sensor Data
- Social Network Analysis
- Speech
- Sustainability and Climate
- Text and Web Data
- User Models
- Vision
Data
- Big Data
- Multivariate
- Relational
- Spatial
- Temporal or Sequential
Learning
- Active Learning
- Classification
- Clustering
- Deep Learning
- General
- Nonparametric Bayes
- Online and Anytime Learning
- Parameter Estimation
- Probabilistic Generative Models
- Ranking
- Recommender Systems
- Regression
- Reinforcement Learning
- Relational Learning
- Scalability
- Semi-Supervised Learning
- Structure Learning
- Structured Prediction
- Theory
- Unsupervised
Methodology
- Bayesian Methods
- Calibration
- Elicitation
- Evaluation
- Human Expertise and Judgement
- Probabilistic Programming
Models
- Bayesian Networks
- Directed Graphical Models
- Dynamic Bayesian Networks
- Markov Decision Processes
- Mixed Graphical Models
- Topic Models
- Undirected Graphical Models
Principles
- Causality
- Cognitive Models
- Decision Theory
- Game Theory
- Information Theory
- Probability Theory
- Statistical Theory
Representation
- Constraints
- Dempster-Shafer
- Fuzzy Logic
- Influence Diagrams
- Non-Probabilistic Frameworks
- Probabilistic
