UAI 2016 - 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